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Pellerin D, Méreaux JL, Boluda S, Danzi MC, Dicaire MJ, Davoine CS, Genis D, Spurdens G, Ashton C, Hammond JM, Gerhart BJ, Chelban V, Le PU, Safisamghabadi M, Yanick C, Lee H, Nageshwaran SK, Matos-Rodrigues G, Jaunmuktane Z, Petrecca K, Akbarian S, Nussenzweig A, Usdin K, Renaud M, Bonnet C, Ravenscroft G, Saporta MA, Napierala JS, Houlden H, Deveson IW, Napierala M, Brice A, Molina Porcel L, Seilhean D, Zuchner S, Durr A, Brais B. Somatic instability of the FGF14 -SCA27B GAA•TTC repeat reveals a marked expansion bias in the cerebellum. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.07.01.24309777. [PMID: 39006414 PMCID: PMC11245061 DOI: 10.1101/2024.07.01.24309777] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/16/2024]
Abstract
Spinocerebellar ataxia 27B (SCA27B) is a common autosomal dominant ataxia caused by an intronic GAA•TTC repeat expansion in FGF14 . Neuropathological studies have shown that neuronal loss is largely restricted to the cerebellum. Although the repeat locus is highly unstable during intergenerational transmission, it remains unknown whether it exhibits cerebral mosaicism and progressive instability throughout life. We conducted an analysis of the FGF14 GAA•TTC repeat somatic instability across 156 serial blood samples from 69 individuals, fibroblasts, induced pluripotent stem cells, and post-mortem brain tissues from six controls and six patients with SCA27B, alongside methylation profiling using targeted long-read sequencing. Peripheral tissues exhibited minimal somatic instability, which did not significantly change over periods of more than 20 years. In post-mortem brains, the GAA•TTC repeat was remarkably stable across all regions, except in the cerebellar hemispheres and vermis. The levels of somatic expansion in the cerebellar hemispheres and vermis were, on average, 3.15 and 2.72 times greater relative to other examined brain regions, respectively. Additionally, levels of somatic expansion in the brain increased with repeat length and tissue expression of FGF14 . We found no significant difference in methylation of wild-type and expanded FGF14 alleles in post-mortem cerebellar hemispheres between patients and controls. In conclusion, our study revealed that the FGF14 GAA•TTC repeat exhibits a cerebellar-specific expansion bias, which may explain the pure and late-onset cerebellar involvement in SCA27B.
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Vegezzi E, Ishiura H, Bragg DC, Pellerin D, Magrinelli F, Currò R, Facchini S, Tucci A, Hardy J, Sharma N, Danzi MC, Zuchner S, Brais B, Reilly MM, Tsuji S, Houlden H, Cortese A. Neurological disorders caused by novel non-coding repeat expansions: clinical features and differential diagnosis. Lancet Neurol 2024; 23:725-739. [PMID: 38876750 DOI: 10.1016/s1474-4422(24)00167-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2024] [Revised: 04/04/2024] [Accepted: 04/09/2024] [Indexed: 06/16/2024]
Abstract
Nucleotide repeat expansions in the human genome are a well-known cause of neurological disease. In the past decade, advances in DNA sequencing technologies have led to a better understanding of the role of non-coding DNA, that is, the DNA that is not transcribed into proteins. These techniques have also enabled the identification of pathogenic non-coding repeat expansions that cause neurological disorders. Mounting evidence shows that adult patients with familial or sporadic presentations of epilepsy, cognitive dysfunction, myopathy, neuropathy, ataxia, or movement disorders can be carriers of non-coding repeat expansions. The description of the clinical, epidemiological, and molecular features of these recently identified non-coding repeat expansion disorders should guide clinicians in the diagnosis and management of these patients, and help in the genetic counselling for patients and their families.
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Affiliation(s)
| | - Hiroyuki Ishiura
- Department of Neurology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - D Cristopher Bragg
- Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - David Pellerin
- Department of Neuromuscular Diseases, UCL Queen Square Institute of Neurology and The National Hospital for Neurology and Neurosurgery, London, UK; Department of Neurology and Neurosurgery, Montreal Neurological Hospital and Institute, McGill University, Montreal, QC, Canada
| | - Francesca Magrinelli
- Department of Clinical and Movement Neurosciences, UCL Queen Square Institute of Neurology and The National Hospital for Neurology and Neurosurgery, London, UK
| | - Riccardo Currò
- Department of Neuromuscular Diseases, UCL Queen Square Institute of Neurology and The National Hospital for Neurology and Neurosurgery, London, UK; Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy
| | - Stefano Facchini
- IRCCS Mondino Foundation, Pavia, Italy; Department of Neuromuscular Diseases, UCL Queen Square Institute of Neurology and The National Hospital for Neurology and Neurosurgery, London, UK
| | - Arianna Tucci
- Department of Neuromuscular Diseases, UCL Queen Square Institute of Neurology and The National Hospital for Neurology and Neurosurgery, London, UK; William Harvey Research Institute, Queen Mary University of London, London, UK
| | - John Hardy
- Department of Neurogedengerative Disease, UCL Queen Square Institute of Neurology and The National Hospital for Neurology and Neurosurgery, London, UK
| | - Nutan Sharma
- Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Matt C Danzi
- Department of Human Genetics and Hussman Institute for Human Genomics, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Stephan Zuchner
- Department of Human Genetics and Hussman Institute for Human Genomics, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Bernard Brais
- Department of Neurology and Neurosurgery, Montreal Neurological Hospital and Institute, McGill University, Montreal, QC, Canada
| | - Mary M Reilly
- Department of Neuromuscular Diseases, UCL Queen Square Institute of Neurology and The National Hospital for Neurology and Neurosurgery, London, UK
| | - Shoji Tsuji
- Department of Neurology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan; Institute of Medical Genomics, International University of Health and Welfare, Chiba, Japan
| | - Henry Houlden
- Department of Neuromuscular Diseases, UCL Queen Square Institute of Neurology and The National Hospital for Neurology and Neurosurgery, London, UK
| | - Andrea Cortese
- Department of Neuromuscular Diseases, UCL Queen Square Institute of Neurology and The National Hospital for Neurology and Neurosurgery, London, UK; Department of Brain and Behavioral Sciences, University of Pavia, Pavia, Italy.
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Guha S, Reddi HV, Aarabi M, DiStefano M, Wakeling E, Dungan JS, Gregg AR. Laboratory testing for preconception/prenatal carrier screening: A technical standard of the American College of Medical Genetics and Genomics (ACMG). Genet Med 2024; 26:101137. [PMID: 38814327 DOI: 10.1016/j.gim.2024.101137] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2024] [Accepted: 04/01/2024] [Indexed: 05/31/2024] Open
Abstract
Carrier screening has historically assessed a relatively small number of autosomal recessive and X-linked conditions selected based on frequency in a specific subpopulation and association with severe morbidity or mortality. Advances in genomic technologies enable simultaneous screening of individuals for several conditions. The American College of Medical Genetics and Genomics recently published a clinical practice resource that presents a framework when offering screening for autosomal recessive and X-linked conditions during pregnancy and preconception and recommends a tier-based approach when considering the number of conditions to screen for and their frequency within the US population in general. This laboratory technical standard aims to complement the practice resource and to put forth considerations for clinical laboratories and clinicians who offer preconception/prenatal carrier screening.
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Affiliation(s)
| | - Honey V Reddi
- Department of Pathology and Laboratory Medicine, Medical College of Wisconsin, Milwaukee, WI
| | - Mahmoud Aarabi
- UPMC Medical Genetics and Genomics Laboratories, UPMC Magee-Womens Hospital, Pittsburgh, PA; Departments of Pathology and Obstetrics, Gynecology, and Reproductive Sciences, University of Pittsburgh School of Medicine, Pittsburgh, PA
| | | | | | - Jeffrey S Dungan
- Department of Obstetrics and Gynecology, Northwestern University Feinberg School of Medicine, Chicago, IL
| | - Anthony R Gregg
- Department of Obstetrics and Gynecology, Prisma Health, Columbia, SC
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Fellner A, Wali GM, Mahant N, Grosz BR, Ellis M, Narayanan RK, Ng K, Davis RL, Tchan MC, Kotschet K, Yeow D, Rudaks LI, Siow SF, Wali G, Yiannikas C, Hobbs M, Copty J, Geaghan M, Darveniza P, Liang C, Williams LJ, Chang FCF, Morales-Briceño H, Tisch S, Hayes M, Whyte S, Kummerfeld S, Kennerson ML, Cowley MJ, Fung VSC, Sue CM, Kumar KR. Genome sequencing reanalysis increases the diagnostic yield in dystonia. Parkinsonism Relat Disord 2024; 124:107010. [PMID: 38772265 DOI: 10.1016/j.parkreldis.2024.107010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/14/2024] [Revised: 03/15/2024] [Accepted: 05/12/2024] [Indexed: 05/23/2024]
Abstract
PURPOSE We investigated the contribution of genomic data reanalysis to the diagnostic yield of dystonia patients who remained undiagnosed after prior genome sequencing. METHODS Probands with heterogeneous dystonia phenotypes who underwent initial genome sequencing (GS) analysis in 2019 were included in the reanalysis, which was performed through gene-specific discovery collaborations and systematic genomic data reanalysis. RESULTS Initial GS analysis in 2019 (n = 111) identified a molecular diagnosis in 11.7 % (13/111) of cases. Reanalysis between 2020 and 2023 increased the diagnostic yield by 7.2 % (8/111); 3.6 % (4/111) through focused gene-specific clinical correlation collaborative efforts [VPS16 (two probands), AOPEP and POLG], and 3.6 % (4/111) by systematic reanalysis completed in 2023 [NUS1 (two probands) and DDX3X variants, and a microdeletion encompassing VPS16]. Seven of these patients had a high phenotype-based dystonia score ≥3. Notable unverified findings in four additional cases included suspicious variants of uncertain significance in FBXL4 and EIF2AK2, and potential phenotypic expansion associated with SLC2A1 and TREX1 variants. CONCLUSION GS data reanalysis increased the diagnostic yield from 11.7 % to 18.9 %, with potential extension up to 22.5 %. While optimal timing for diagnostic reanalysis remains to be determined, this study demonstrates that periodic re-interrogation of dystonia GS datasets can provide additional genetic diagnoses, which may have significant implications for patients and their families.
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Affiliation(s)
- Avi Fellner
- Garvan Institute of Medical Research, Darlinghurst, NSW, Australia; The Neurogenetics Clinic, Raphael Recanati Genetics Institute, Rabin Medical Center, Beilinson Hospital, Petah Tikva, Israel.
| | | | - Neil Mahant
- Movement Disorders Unit, Neurology Department, Westmead Hospital, Westmead, NSW, Australia
| | - Bianca R Grosz
- Northcott Neuroscience Laboratory, ANZAC Research Institute SLHD, Concord, NSW, Australia
| | - Melina Ellis
- Northcott Neuroscience Laboratory, ANZAC Research Institute SLHD, Concord, NSW, Australia
| | - Ramesh K Narayanan
- Northcott Neuroscience Laboratory, ANZAC Research Institute SLHD, Concord, NSW, Australia
| | - Karl Ng
- Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia; Department of Neurology, Royal North Shore Hospital, Northern Sydney Local Health District, Sydney, NSW, Australia
| | - Ryan L Davis
- Garvan Institute of Medical Research, Darlinghurst, NSW, Australia; Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia; Department of Neurogenetics, Kolling Institute, Faculty of Medicine and Health, University of Sydney and Northern Sydney Local Health District, St. Leonards, NSW, Australia
| | - Michel C Tchan
- Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia; Department of Genetic Medicine, Westmead Hospital, Westmead, NSW, Australia
| | - Katya Kotschet
- Clinical Neurosciences, St. Vincent's Hospital, Melbourne, Australia
| | - Dennis Yeow
- Garvan Institute of Medical Research, Darlinghurst, NSW, Australia; Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia; Department of Neurology, Concord Repatriation General Hospital, Sydney, NSW, Australia; Molecular Medicine Laboratory, Concord Repatriation General Hospital, Concord, NSW, Australia; Neuroscience Research Australia, Sydney, NSW, Australia
| | - Laura I Rudaks
- Garvan Institute of Medical Research, Darlinghurst, NSW, Australia; Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia; Department of Neurology, Concord Repatriation General Hospital, Sydney, NSW, Australia; Molecular Medicine Laboratory, Concord Repatriation General Hospital, Concord, NSW, Australia; Department of Clinical Genetics, Royal North Shore Hospital, St. Leonards, NSW, Australia
| | - Sue-Faye Siow
- Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia; Department of Clinical Genetics, Royal North Shore Hospital, St. Leonards, NSW, Australia
| | - Gautam Wali
- Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia; Department of Neurogenetics, Kolling Institute, Faculty of Medicine and Health, University of Sydney and Northern Sydney Local Health District, St. Leonards, NSW, Australia; Neuroscience Research Australia, Sydney, NSW, Australia
| | - Con Yiannikas
- Department of Neurology, Royal North Shore Hospital, Northern Sydney Local Health District, Sydney, NSW, Australia; Department of Neurology, Concord Repatriation General Hospital, Sydney, NSW, Australia
| | - Matthew Hobbs
- Garvan Institute of Medical Research, Darlinghurst, NSW, Australia
| | - Joseph Copty
- Garvan Institute of Medical Research, Darlinghurst, NSW, Australia
| | - Michael Geaghan
- Garvan Institute of Medical Research, Darlinghurst, NSW, Australia
| | - Paul Darveniza
- Department of Neurology, St. Vincent's Hospital, Darlinghurst, NSW, Australia
| | - Christina Liang
- Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia; Department of Neurology, Royal North Shore Hospital, Northern Sydney Local Health District, Sydney, NSW, Australia; Neuroscience Research Australia, Sydney, NSW, Australia
| | - Laura J Williams
- Movement Disorders Unit, Neurology Department, Westmead Hospital, Westmead, NSW, Australia
| | - Florence C F Chang
- Movement Disorders Unit, Neurology Department, Westmead Hospital, Westmead, NSW, Australia; Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia
| | - Hugo Morales-Briceño
- Movement Disorders Unit, Neurology Department, Westmead Hospital, Westmead, NSW, Australia; Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia
| | - Stephen Tisch
- Department of Neurology, St. Vincent's Hospital, Darlinghurst, NSW, Australia; School of Clinical Medicine, UNSW Medicine & Health, UNSW Sydney, Sydney, NSW, Australia
| | - Michael Hayes
- Department of Neurology, Concord Repatriation General Hospital, Sydney, NSW, Australia
| | - Scott Whyte
- Department of Neurology, Gosford Hospital, Gosford, Australia
| | - Sarah Kummerfeld
- Garvan Institute of Medical Research, Darlinghurst, NSW, Australia
| | - Marina L Kennerson
- Northcott Neuroscience Laboratory, ANZAC Research Institute SLHD, Concord, NSW, Australia; Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia; Molecular Medicine Laboratory, Concord Repatriation General Hospital, Concord, NSW, Australia
| | - Mark J Cowley
- School of Clinical Medicine, UNSW Medicine & Health, UNSW Sydney, Sydney, NSW, Australia; Children's Cancer Institute, University of New South Wales, Sydney, Australia
| | - Victor S C Fung
- Movement Disorders Unit, Neurology Department, Westmead Hospital, Westmead, NSW, Australia; Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia
| | - Carolyn M Sue
- Department of Neurology, Royal North Shore Hospital, Northern Sydney Local Health District, Sydney, NSW, Australia; Department of Neurogenetics, Kolling Institute, Faculty of Medicine and Health, University of Sydney and Northern Sydney Local Health District, St. Leonards, NSW, Australia; Neuroscience Research Australia, Sydney, NSW, Australia; School of Clinical Medicine, UNSW Medicine & Health, UNSW Sydney, Sydney, NSW, Australia
| | - Kishore R Kumar
- Garvan Institute of Medical Research, Darlinghurst, NSW, Australia; Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia; Department of Neurology, Concord Repatriation General Hospital, Sydney, NSW, Australia; Molecular Medicine Laboratory, Concord Repatriation General Hospital, Concord, NSW, Australia; School of Clinical Medicine, UNSW Medicine & Health, UNSW Sydney, Sydney, NSW, Australia.
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5
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Tanudisastro HA, Deveson IW, Dashnow H, MacArthur DG. Sequencing and characterizing short tandem repeats in the human genome. Nat Rev Genet 2024; 25:460-475. [PMID: 38366034 DOI: 10.1038/s41576-024-00692-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/06/2023] [Indexed: 02/18/2024]
Abstract
Short tandem repeats (STRs) are highly polymorphic sequences throughout the human genome that are composed of repeated copies of a 1-6-bp motif. Over 1 million variable STR loci are known, some of which regulate gene expression and influence complex traits, such as height. Moreover, variants in at least 60 STR loci cause genetic disorders, including Huntington disease and fragile X syndrome. Accurately identifying and genotyping STR variants is challenging, in particular mapping short reads to repetitive regions and inferring expanded repeat lengths. Recent advances in sequencing technology and computational tools for STR genotyping from sequencing data promise to help overcome this challenge and solve genetically unresolved cases and the 'missing heritability' of polygenic traits. Here, we compare STR genotyping methods, analytical tools and their applications to understand the effect of STR variation on health and disease. We identify emergent opportunities to refine genotyping and quality-control approaches as well as to integrate STRs into variant-calling workflows and large cohort analyses.
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Affiliation(s)
- Hope A Tanudisastro
- Centre for Population Genomics, Garvan Institute of Medical Research, Sydney, New South Wales, Australia
- Centre for Population Genomics, Murdoch Children's Research Institute, Melbourne, Victoria, Australia
- Faculty of Medicine and Health, University of New South Wales, Sydney, New South Wales, Australia
- Faculty of Medicine and Health, University of Sydney, Sydney, New South Wales, Australia
| | - Ira W Deveson
- Faculty of Medicine and Health, University of New South Wales, Sydney, New South Wales, Australia
- Genomics and Inherited Disease Program, Garvan Institute of Medical Research, Sydney, New South Wales, Australia
| | - Harriet Dashnow
- Department of Human Genetics, University of Utah, Salt Lake City, UT, USA.
| | - Daniel G MacArthur
- Centre for Population Genomics, Garvan Institute of Medical Research, Sydney, New South Wales, Australia.
- Centre for Population Genomics, Murdoch Children's Research Institute, Melbourne, Victoria, Australia.
- Faculty of Medicine and Health, University of New South Wales, Sydney, New South Wales, Australia.
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6
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Rajan-Babu IS, Dolzhenko E, Eberle MA, Friedman JM. Sequence composition changes in short tandem repeats: heterogeneity, detection, mechanisms and clinical implications. Nat Rev Genet 2024; 25:476-499. [PMID: 38467784 DOI: 10.1038/s41576-024-00696-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/19/2024] [Indexed: 03/13/2024]
Abstract
Short tandem repeats (STRs) are a class of repetitive elements, composed of tandem arrays of 1-6 base pair sequence motifs, that comprise a substantial fraction of the human genome. STR expansions can cause a wide range of neurological and neuromuscular conditions, known as repeat expansion disorders, whose age of onset, severity, penetrance and/or clinical phenotype are influenced by the length of the repeats and their sequence composition. The presence of non-canonical motifs, depending on the type, frequency and position within the repeat tract, can alter clinical outcomes by modifying somatic and intergenerational repeat stability, gene expression and mutant transcript-mediated and/or protein-mediated toxicities. Here, we review the diverse structural conformations of repeat expansions, technological advances for the characterization of changes in sequence composition, their clinical correlations and the impact on disease mechanisms.
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Affiliation(s)
- Indhu-Shree Rajan-Babu
- Department of Medical Genetics, The University of British Columbia, and Children's & Women's Hospital, Vancouver, British Columbia, Canada.
| | | | | | - Jan M Friedman
- Department of Medical Genetics, The University of British Columbia, and Children's & Women's Hospital, Vancouver, British Columbia, Canada
- BC Children's Hospital Research Institute, Vancouver, British Columbia, Canada
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7
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Schaub A, Erdmann H, Scholz V, Timmer M, Cordts I, Günther R, Reilich P, Abicht A, Schöberl F. Analysis and occurrence of biallelic pathogenic repeat expansions in RFC1 in a German cohort of patients with a main clinical phenotype of motor neuron disease. J Neurol 2024:10.1007/s00415-024-12519-6. [PMID: 38916676 DOI: 10.1007/s00415-024-12519-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2024] [Revised: 06/09/2024] [Accepted: 06/11/2024] [Indexed: 06/26/2024]
Abstract
Biallelic pathogenic repeat expansions in RFC1 were recently identified as molecular origin of cerebellar ataxia, neuropathy, vestibular areflexia syndrome (CANVAS) as well as of one of the most common causes of adult-onset ataxia. In the meantime, the phenotypic spectrum has expanded massively and now includes mimics of multiple system atrophy or parkinsonism. After identifying a patient with a clinical diagnosis of amyotrophic lateral sclerosis (ALS) as a carrier of biallelic pathogenic repeat expansions in RFC1, we studied a cohort of 106 additional patients with a clinical main phenotype of motor neuron disease (MND) to analyze whether such repeat expansions are more common in MND patients. Indeed, two additional MND patients (one also with ALS and one with primary lateral sclerosis/PLS) have been identified as carrier of biallelic pathogenic repeat expansions in RFC1 in the absence of another genetic alteration explaining the phenotype, suggesting motor neuron disease as another extreme phenotype of RFC1 spectrum disorder. Therefore, MND might belong to the expanding phenotypic spectrum of pathogenic RFC1 repeat expansions, particularly in those MND patients with additional features such as sensory and/or autonomic neuropathy, vestibular deficits, or cerebellar signs. By systematically analyzing the RFC1 repeat array using Oxford nanopore technology long-read sequencing, our study highlights the high intra- and interallelic heterogeneity of this locus and allows the identification of the novel repeat motif 'ACAAG'.
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Affiliation(s)
- Annalisa Schaub
- Medical Genetics Center, Munich, Germany
- Department of Neurology With Friedrich-Baur-Institute, Klinikum Der Universität, Ludwig-Maximilians-University, Marchioninistr. 15, 81377, Munich, Germany
| | - Hannes Erdmann
- Medical Genetics Center, Munich, Germany
- Department of Neurology With Friedrich-Baur-Institute, Klinikum Der Universität, Ludwig-Maximilians-University, Marchioninistr. 15, 81377, Munich, Germany
| | | | - Manuela Timmer
- Gemeinschaftspraxis Für Humangenetik Dresden, Medizinische Genetik, Dresden, Germany
| | - Isabell Cordts
- Department of Neurology, Klinikum Rechts Der Isar, Technical University of Munich, Munich, Germany
- Department of Neuroscience, Mayo Clinic, Jacksonville, FL, USA
| | - Rene Günther
- Department of Neurology, Universitätsklinikum Carl Gustav Carus Dresden, Dresden, Germany
| | - Peter Reilich
- Department of Neurology With Friedrich-Baur-Institute, Klinikum Der Universität, Ludwig-Maximilians-University, Marchioninistr. 15, 81377, Munich, Germany
| | - Angela Abicht
- Medical Genetics Center, Munich, Germany
- Department of Neurology With Friedrich-Baur-Institute, Klinikum Der Universität, Ludwig-Maximilians-University, Marchioninistr. 15, 81377, Munich, Germany
| | - Florian Schöberl
- Department of Neurology With Friedrich-Baur-Institute, Klinikum Der Universität, Ludwig-Maximilians-University, Marchioninistr. 15, 81377, Munich, Germany.
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Kuroki Y, Hattori A, Matsubara K, Fukami M. Long-read next-generation sequencing for molecular diagnosis of pediatric endocrine disorders. Ann Pediatr Endocrinol Metab 2024; 29:156-160. [PMID: 38956752 PMCID: PMC11220396 DOI: 10.6065/apem.2448028.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/09/2024] [Accepted: 04/23/2024] [Indexed: 07/04/2024] Open
Abstract
Recent advances in long-read next-generation sequencing (NGS) have enabled researchers to identify several pathogenic variants overlooked by short-read NGS, array-based comparative genomic hybridization, and other conventional methods. Long-read NGS is particularly useful in the detection of structural variants and repeat expansions. Furthermore, it can be used for mutation screening in difficultto- sequence regions, as well as for DNA-methylation analyses and haplotype phasing. This mini-review introduces the usefulness of long-read NGS in the molecular diagnosis of pediatric endocrine disorders.
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Affiliation(s)
- Yoko Kuroki
- Division of Diversity Research, National Research Institute for Child Health and Development, Tokyo, Japan
- Department of Genome Medicine, National Research Institute for Child Health and Development, Tokyo, Japan
| | - Atsushi Hattori
- Division of Diversity Research, National Research Institute for Child Health and Development, Tokyo, Japan
- Department of Molecular Endocrinology, National Research Institute for Child Health and Development, Tokyo, Japan
| | - Keiko Matsubara
- Division of Diversity Research, National Research Institute for Child Health and Development, Tokyo, Japan
- Department of Molecular Endocrinology, National Research Institute for Child Health and Development, Tokyo, Japan
| | - Maki Fukami
- Division of Diversity Research, National Research Institute for Child Health and Development, Tokyo, Japan
- Department of Molecular Endocrinology, National Research Institute for Child Health and Development, Tokyo, Japan
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9
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Grosz BR, Parmar JM, Ellis M, Bryen S, Simons C, Reis ALM, Stevanovski I, Deveson IW, Nicholson G, Laing N, Wallis M, Ravenscroft G, Kumar KR, Vucic S, Kennerson ML. A deep intronic variant in MME causes autosomal recessive Charcot-Marie-Tooth neuropathy through aberrant splicing. J Peripher Nerv Syst 2024; 29:262-274. [PMID: 38860315 DOI: 10.1111/jns.12637] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2024] [Revised: 05/26/2024] [Accepted: 05/28/2024] [Indexed: 06/12/2024]
Abstract
BACKGROUND Loss-of-function variants in MME (membrane metalloendopeptidase) are a known cause of recessive Charcot-Marie-Tooth Neuropathy (CMT). A deep intronic variant, MME c.1188+428A>G (NM_000902.5), was identified through whole genome sequencing (WGS) of two Australian families with recessive inheritance of axonal CMT using the seqr platform. MME c.1188+428A>G was detected in a homozygous state in Family 1, and in a compound heterozygous state with a known pathogenic MME variant (c.467del; p.Pro156Leufs*14) in Family 2. AIMS We aimed to determine the pathogenicity of the MME c.1188+428A>G variant through segregation and splicing analysis. METHODS The splicing impact of the deep intronic MME variant c.1188+428A>G was assessed using an in vitro exon-trapping assay. RESULTS The exon-trapping assay demonstrated that the MME c.1188+428A>G variant created a novel splice donor site resulting in the inclusion of an 83 bp pseudoexon between MME exons 12 and 13. The incorporation of the pseudoexon into MME transcript is predicted to lead to a coding frameshift and premature termination codon (PTC) in MME exon 14 (p.Ala397ProfsTer47). This PTC is likely to result in nonsense mediated decay (NMD) of MME transcript leading to a pathogenic loss-of-function. INTERPRETATION To our knowledge, this is the first report of a pathogenic deep intronic MME variant causing CMT. This is of significance as deep intronic variants are missed using whole exome sequencing screening methods. Individuals with CMT should be reassessed for deep intronic variants, with splicing impacts being considered in relation to the potential pathogenicity of variants.
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Affiliation(s)
- Bianca R Grosz
- Northcott Neuroscience Laboratory, ANZAC Research Institute, Sydney, New South Wales, Australia
- The University of Sydney, Camperdown, New South Wales, Australia
| | - Jevin M Parmar
- Rare Disease Genetics and Functional Genomics Research Group, Harry Perkins Institute of Medical Research, QEII Medical Centre, Nedlands, Western Australia, Australia
- Centre for Medical Research, Faculty of Health and Medical Sciences, The University of Western Australia, Perth, Western Australia, Australia
| | - Melina Ellis
- Northcott Neuroscience Laboratory, ANZAC Research Institute, Sydney, New South Wales, Australia
- The University of Sydney, Camperdown, New South Wales, Australia
| | - Samantha Bryen
- Centre for Population Genomics, Garvan Institute of Medical Research, and UNSW Sydney, Sydney, New South Wales, Australia
- Centre for Population Genomics, Murdoch Children's Research Institute, Melbourne, Victoria, Australia
| | - Cas Simons
- Centre for Population Genomics, Garvan Institute of Medical Research, and UNSW Sydney, Sydney, New South Wales, Australia
- Centre for Population Genomics, Murdoch Children's Research Institute, Melbourne, Victoria, Australia
| | - Andre L M Reis
- Centre for Population Genomics, Garvan Institute of Medical Research, and UNSW Sydney, Sydney, New South Wales, Australia
- Genomics and Inherited Disease Program, Garvan Institute of Medical Research, Sydney, New South Wales, Australia
- Faculty of Medicine, University of New South Wales, Sydney, New South Wales, Australia
| | - Igor Stevanovski
- Centre for Population Genomics, Garvan Institute of Medical Research, and UNSW Sydney, Sydney, New South Wales, Australia
- Genomics and Inherited Disease Program, Garvan Institute of Medical Research, Sydney, New South Wales, Australia
| | - Ira W Deveson
- Centre for Population Genomics, Garvan Institute of Medical Research, and UNSW Sydney, Sydney, New South Wales, Australia
- Genomics and Inherited Disease Program, Garvan Institute of Medical Research, Sydney, New South Wales, Australia
- Faculty of Medicine, University of New South Wales, Sydney, New South Wales, Australia
| | - Garth Nicholson
- The University of Sydney, Camperdown, New South Wales, Australia
- Molecular Medicine Laboratory and Neurology Department, Concord Repatriation General Hospital, Concord, New South Wales, Australia
| | - Nigel Laing
- Rare Disease Genetics and Functional Genomics Research Group, Harry Perkins Institute of Medical Research, QEII Medical Centre, Nedlands, Western Australia, Australia
| | - Mathew Wallis
- Tasmanian Clinical Genetics Service, Tasmanian Health Service, Hobart, Australia
- School of Medicine and Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia
| | - Gianina Ravenscroft
- Rare Disease Genetics and Functional Genomics Research Group, Harry Perkins Institute of Medical Research, QEII Medical Centre, Nedlands, Western Australia, Australia
| | - Kishore R Kumar
- The University of Sydney, Camperdown, New South Wales, Australia
- Molecular Medicine Laboratory and Neurology Department, Concord Repatriation General Hospital, Concord, New South Wales, Australia
- Translational Neurogenomics Group, Genomic and Inherited Disease Program, The Garvan Institute of Medical Research, Darlinghurst, New South Wales, Australia
- St Vincent's Healthcare Campus, Faculty of Medicine, UNSW Sydney, Darlinghurst, New South Wales, Australia
| | - Steve Vucic
- The University of Sydney, Camperdown, New South Wales, Australia
- Brain and Nerve Research Centre, The University of Sydney, Sydney, New South Wales, Australia
| | - Marina L Kennerson
- Northcott Neuroscience Laboratory, ANZAC Research Institute, Sydney, New South Wales, Australia
- The University of Sydney, Camperdown, New South Wales, Australia
- Molecular Medicine Laboratory and Neurology Department, Concord Repatriation General Hospital, Concord, New South Wales, Australia
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10
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Gielecińska A, Kciuk M, Kołat D, Kruczkowska W, Kontek R. Polymorphisms of DNA Repair Genes in Thyroid Cancer. Int J Mol Sci 2024; 25:5995. [PMID: 38892180 PMCID: PMC11172789 DOI: 10.3390/ijms25115995] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2024] [Revised: 05/27/2024] [Accepted: 05/28/2024] [Indexed: 06/21/2024] Open
Abstract
The incidence of thyroid cancer, one of the most common forms of endocrine cancer, is increasing rapidly worldwide in developed and developing countries. Various risk factors can increase susceptibility to thyroid cancer, but particular emphasis is put on the role of DNA repair genes, which have a significant impact on genome stability. Polymorphisms of these genes can increase the risk of developing thyroid cancer by affecting their function. In this article, we present a concise review on the most common polymorphisms of selected DNA repair genes that may influence the risk of thyroid cancer. We point out significant differences in the frequency of these polymorphisms between various populations and their potential relationship with susceptibility to the disease. A more complete understanding of these differences may lead to the development of effective prevention strategies and targeted therapies for thyroid cancer. Simultaneously, there is a need for further research on the role of polymorphisms of previously uninvestigated DNA repair genes in the context of thyroid cancer, which may contribute to filling the knowledge gaps on this subject.
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Affiliation(s)
- Adrianna Gielecińska
- Department of Molecular Biotechnology and Genetics, Faculty of Biology and Environmental Protection, University of Lodz, Banacha Street 12/16, 90-237 Lodz, Poland; (A.G.); (R.K.)
- Doctoral School of Exact and Natural Sciences, University of Lodz, Banacha Street 12/16, 90-237 Lodz, Poland
| | - Mateusz Kciuk
- Department of Molecular Biotechnology and Genetics, Faculty of Biology and Environmental Protection, University of Lodz, Banacha Street 12/16, 90-237 Lodz, Poland; (A.G.); (R.K.)
- Doctoral School of Exact and Natural Sciences, University of Lodz, Banacha Street 12/16, 90-237 Lodz, Poland
| | - Damian Kołat
- Department of Functional Genomics, Medical University of Lodz, 90-752 Lodz, Poland;
- Department of Biomedicine and Experimental Surgery, Medical University of Lodz, 90-136 Lodz, Poland
| | - Weronika Kruczkowska
- Faculty of Biomedical Sciences, Medical University of Lodz, Zeligowskiego 7/9, 90-752 Lodz, Poland;
| | - Renata Kontek
- Department of Molecular Biotechnology and Genetics, Faculty of Biology and Environmental Protection, University of Lodz, Banacha Street 12/16, 90-237 Lodz, Poland; (A.G.); (R.K.)
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11
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Parmar JM, Laing NG, Kennerson ML, Ravenscroft G. Genetics of inherited peripheral neuropathies and the next frontier: looking backwards to progress forwards. J Neurol Neurosurg Psychiatry 2024:jnnp-2024-333436. [PMID: 38744462 DOI: 10.1136/jnnp-2024-333436] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/18/2024] [Accepted: 04/10/2024] [Indexed: 05/16/2024]
Abstract
Inherited peripheral neuropathies (IPNs) encompass a clinically and genetically heterogeneous group of disorders causing length-dependent degeneration of peripheral autonomic, motor and/or sensory nerves. Despite gold-standard diagnostic testing for pathogenic variants in over 100 known associated genes, many patients with IPN remain genetically unsolved. Providing patients with a diagnosis is critical for reducing their 'diagnostic odyssey', improving clinical care, and for informed genetic counselling. The last decade of massively parallel sequencing technologies has seen a rapid increase in the number of newly described IPN-associated gene variants contributing to IPN pathogenesis. However, the scarcity of additional families and functional data supporting variants in potential novel genes is prolonging patient diagnostic uncertainty and contributing to the missing heritability of IPNs. We review the last decade of IPN disease gene discovery to highlight novel genes, structural variation and short tandem repeat expansions contributing to IPN pathogenesis. From the lessons learnt, we provide our vision for IPN research as we anticipate the future, providing examples of emerging technologies, resources and tools that we propose that will expedite the genetic diagnosis of unsolved IPN families.
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Affiliation(s)
- Jevin M Parmar
- Rare Disease Genetics and Functional Genomics, Harry Perkins Institute of Medical Research, Perth, Western Australia, Australia
- Centre for Medical Research, Faculty of Health and Medical Sciences, The University of Western Australia, Perth, Western Australia, Australia
| | - Nigel G Laing
- Centre for Medical Research, Faculty of Health and Medical Sciences, The University of Western Australia, Perth, Western Australia, Australia
- Preventive Genetics, Harry Perkins Institute of Medical Research, Perth, Western Australia, Australia
| | - Marina L Kennerson
- Northcott Neuroscience Laboratory, ANZAC Research Institute, Concord, New South Wales, Australia
- Molecular Medicine Laboratory, Concord Hospital, Concord, New South Wales, Australia
| | - Gianina Ravenscroft
- Rare Disease Genetics and Functional Genomics, Harry Perkins Institute of Medical Research, Perth, Western Australia, Australia
- Centre for Medical Research, Faculty of Health and Medical Sciences, The University of Western Australia, Perth, Western Australia, Australia
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12
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Rudaks LI, Yeow D, Ng K, Deveson IW, Kennerson ML, Kumar KR. An Update on the Adult-Onset Hereditary Cerebellar Ataxias: Novel Genetic Causes and New Diagnostic Approaches. CEREBELLUM (LONDON, ENGLAND) 2024:10.1007/s12311-024-01703-z. [PMID: 38760634 DOI: 10.1007/s12311-024-01703-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 05/07/2024] [Indexed: 05/19/2024]
Abstract
The hereditary cerebellar ataxias (HCAs) are rare, progressive neurologic disorders caused by variants in many different genes. Inheritance may follow autosomal dominant, autosomal recessive, X-linked or mitochondrial patterns. The list of genes associated with adult-onset cerebellar ataxia is continuously growing, with several new genes discovered in the last few years. This includes short-tandem repeat (STR) expansions in RFC1, causing cerebellar ataxia, neuropathy, vestibular areflexia syndrome (CANVAS), FGF14-GAA causing spinocerebellar ataxia type 27B (SCA27B), and THAP11. In addition, the genetic basis for SCA4, has recently been identified as a STR expansion in ZFHX3. Given the large and growing number of genes, and different gene variant types, the approach to diagnostic testing for adult-onset HCA can be complex. Testing methods include targeted evaluation of STR expansions (e.g. SCAs, Friedreich ataxia, fragile X-associated tremor/ataxia syndrome, dentatorubral-pallidoluysian atrophy), next generation sequencing for conventional variants, which may include targeted gene panels, whole exome, or whole genome sequencing, followed by various potential additional tests. This review proposes a diagnostic approach for clinical testing, highlights the challenges with current testing technologies, and discusses future advances which may overcome these limitations. Implementing long-read sequencing has the potential to transform the diagnostic approach in HCA, with the overall aim to improve the diagnostic yield.
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Affiliation(s)
- Laura Ivete Rudaks
- Molecular Medicine Laboratory and Neurology Department, Concord Repatriation General Hospital, Sydney, Australia.
- Faculty of Medicine and Health, The University of Sydney, Sydney, Australia.
- Genomics and Inherited Disease Program, The Garvan Institute of Medical Research, Sydney, Australia.
- Clinical Genetics Unit, Royal North Shore Hospital, Sydney, Australia.
| | - Dennis Yeow
- Molecular Medicine Laboratory and Neurology Department, Concord Repatriation General Hospital, Sydney, Australia
- Faculty of Medicine and Health, The University of Sydney, Sydney, Australia
- Genomics and Inherited Disease Program, The Garvan Institute of Medical Research, Sydney, Australia
- Neurodegenerative Service, Prince of Wales Hospital, Sydney, Australia
- Neuroscience Research Australia, Sydney, Australia
| | - Karl Ng
- Faculty of Medicine and Health, The University of Sydney, Sydney, Australia
- Neurology Department, Royal North Shore Hospital, Sydney, Australia
| | - Ira W Deveson
- Genomics and Inherited Disease Program, The Garvan Institute of Medical Research, Sydney, Australia
- Faculty of Medicine, University of New South Wales, Sydney, Australia
| | - Marina L Kennerson
- Molecular Medicine Laboratory and Neurology Department, Concord Repatriation General Hospital, Sydney, Australia
- Faculty of Medicine and Health, The University of Sydney, Sydney, Australia
- The Northcott Neuroscience Laboratory, ANZAC Research Institute, Sydney Local Health District, Sydney, Australia
| | - Kishore Raj Kumar
- Molecular Medicine Laboratory and Neurology Department, Concord Repatriation General Hospital, Sydney, Australia
- Faculty of Medicine and Health, The University of Sydney, Sydney, Australia
- Genomics and Inherited Disease Program, The Garvan Institute of Medical Research, Sydney, Australia
- Faculty of Medicine, University of New South Wales, Sydney, Australia
- Faculty of Medicine, St Vincent's Healthcare Campus, UNSW Sydney, Sydney, Australia
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13
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Kumar KR, Cowley MJ, Davis RL. The Next, Next-Generation of Sequencing, Promising to Boost Research and Clinical Practice. Semin Thromb Hemost 2024. [PMID: 38733978 DOI: 10.1055/s-0044-1786756] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/13/2024]
Affiliation(s)
- Kishore R Kumar
- Molecular Medicine Laboratory and Department of Neurology, Concord Repatriation General Hospital, Concord Clinical School, University of Sydney, Concord, NSW, Australia
- Genomics and Inherited Disease Program, Garvan Institute of Medical Research, Darlinghurst, NSW, Australia
- School of Clinical Medicine, UNSW Sydney, Randwick, NSW, Australia
| | - Mark J Cowley
- School of Clinical Medicine, UNSW Sydney, Randwick, NSW, Australia
- Children's Cancer Institute, UNSW Sydney, Randwick, NSW, Australia
| | - Ryan L Davis
- Genomics and Inherited Disease Program, Garvan Institute of Medical Research, Darlinghurst, NSW, Australia
- Neurogenetics Research Group, Kolling Institute, School of Medical Sciences, Faculty of Medicine and Health, University of Sydney and Northern Sydney Local Health District, St Leonards, NSW, Australia
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14
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Van Deynze K, Mumm C, Maltby CJ, Switzenberg JA, Todd PK, Boyle AP. Enhanced Detection and Genotyping of Disease-Associated Tandem Repeats Using HMMSTR and Targeted Long-Read Sequencing. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.05.01.24306681. [PMID: 38746091 PMCID: PMC11092683 DOI: 10.1101/2024.05.01.24306681] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/16/2024]
Abstract
Tandem repeat sequences comprise approximately 8% of the human genome and are linked to more than 50 neurodegenerative disorders. Accurate characterization of disease-associated repeat loci remains resource intensive and often lacks high resolution genotype calls. We introduce a multiplexed, targeted nanopore sequencing panel and HMMSTR, a sequence-based tandem repeat copy number caller. HMMSTR outperforms current signal- and sequence-based callers relative to two assemblies and we show it performs with high accuracy in heterozygous regions and at low read coverage. The flexible panel allows us to capture disease associated regions at an average coverage of >150x. Using these tools, we successfully characterize known or suspected repeat expansions in patient derived samples. In these samples we also identify unexpected expanded alleles at tandem repeat loci not previously associated with the underlying diagnosis. This genotyping approach for tandem repeat expansions is scalable, simple, flexible, and accurate, offering significant potential for diagnostic applications and investigation of expansion co-occurrence in neurodegenerative disorders. Abstract Figure
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15
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Su C, Chandradoss KR, Malachowski T, Boya R, Ryu HS, Brennand KJ, Phillips-Cremins JE. MASTR-seq: Multiplexed Analysis of Short Tandem Repeats with sequencing. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.04.29.591790. [PMID: 38746155 PMCID: PMC11092654 DOI: 10.1101/2024.04.29.591790] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/16/2024]
Abstract
More than 60 human disorders have been linked to unstable expansion of short tandem repeat (STR) tracts. STR length and the extent of DNA methylation is linked to disease pathology and can be mosaic in a cell type-specific manner in several repeat expansion disorders. Mosaic phenomenon have been difficult to study to date due to technical bias intrinsic to repeat sequences and the need for multi-modal measurements at single-allele resolution. Nanopore long-read sequencing accurately measures STR length and DNA methylation in the same single molecule but is cost prohibitive for studies assessing a target locus across multiple experimental conditions or patient samples. Here, we describe MASTR-seq, M ultiplexed A nalysis of S hort T andem R epeats, for cost-effective, high-throughput, accurate, multi-modal measurements of DNA methylation and STR genotype at single-allele resolution. MASTR-seq couples long-read sequencing, Cas9-mediated target enrichment, and PCR-free multiplexed barcoding to achieve a >ten-fold increase in on-target read mapping for 8-12 pooled samples in a single MinION flow cell. We provide a detailed experimental protocol and computational tools and present evidence that MASTR-seq quantifies tract length and DNA methylation status for CGG and CAG STR loci in normal-length and mutation-length human cell lines. The MASTR-seq protocol takes approximately eight days for experiments and one additional day for data processing and analyses. Key points We provide a protocol for MASTR-seq: M ultiplexed A nalysis of S hort T andem R epeats using Cas9-mediated target enrichment and PCR-free, multiplexed nanopore sequencing. MASTR-seq achieves a >10-fold increase in on-target read proportion for highly repetitive, technically inaccessible regions of the genome relevant for human health and disease.MASTR-seq allows for high-throughput, efficient, accurate, and cost-effective measurement of STR length and DNA methylation in the same single allele for up to 8-12 samples in parallel in one Nanopore MinION flow cell.
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16
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Leitão E, Schröder C, Depienne C. Identification and characterization of repeat expansions in neurological disorders: Methodologies, tools, and strategies. Rev Neurol (Paris) 2024; 180:383-392. [PMID: 38594146 DOI: 10.1016/j.neurol.2024.03.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2024] [Revised: 03/25/2024] [Accepted: 03/26/2024] [Indexed: 04/11/2024]
Abstract
Tandem repeats are a common, highly polymorphic class of variation in human genomes. Their expansion beyond a pathogenic threshold is a process that contributes to a wide range of neurological and neuromuscular genetic disorders, of which over 60 have been identified to date. The last few years have seen a resurgence in repeat expansion discovery propelled by technological advancements, enabling the identification of over 20 novel repeat expansion disorders. These expansions can occur in coding or non-coding regions of genes, resulting in a range of pathogenic mechanisms. In this article, we review strategies, tools and methods that can be used for efficient detection and characterization of known repeat expansions and identification of new expansion disorders. Features that can be used to prioritize repeat expansions include anticipation, which is characterized by increased severity or earlier onset of symptoms across generations, and founder effects, which contribute to higher prevalence rates in certain populations. Classical technologies such as Southern blotting, repeat-primed polymerase chain reaction (PCR) and long-range PCR can still be used to detect known repeat expansions, although they usually have significant limitations linked to the absence of sequence context. Targeted sequencing of known expansions using either long-range PCR or CRISPR-Cas9 enrichment combined with long-read sequencing or adaptive nanopore sampling are usually better but more expensive alternatives. The development of new bioinformatics tools applied to short-read genome data can now be used to detect repeat expansions either in a targeted manner or at the genome-wide level. In addition, technological advances, particularly long-read technologies such as optical genome mapping (Bionano Genomics), Oxford Nanopore Technologies (ONT) and Pacific Biosciences (PacBio) HiFi sequencing, offer promising avenues for the detection of repeat expansions. Despite challenges in specific DNA extraction requirements, computation resources needed and data interpretation, these technologies have an immense potential to advance our understanding of repeat expansion disorders and improve diagnostic accuracy.
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Affiliation(s)
- E Leitão
- Institute of Human Genetics, University Hospital Essen, University Duisburg-Essen, Essen, Germany
| | - C Schröder
- Institute of Human Genetics, University Hospital Essen, University Duisburg-Essen, Essen, Germany
| | - C Depienne
- Institute of Human Genetics, University Hospital Essen, University Duisburg-Essen, Essen, Germany.
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17
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Dias KR, Shrestha R, Schofield D, Evans CA, O'Heir E, Zhu Y, Zhang F, Standen K, Weisburd B, Stenton SL, Sanchis-Juan A, Brand H, Talkowski ME, Ma A, Ghedia S, Wilson M, Sandaradura SA, Smith J, Kamien B, Turner A, Bakshi M, Adès LC, Mowat D, Regan M, McGillivray G, Savarirayan R, White SM, Tan TY, Stark Z, Brown NJ, Pérez-Jurado LA, Krzesinski E, Hunter MF, Akesson L, Fennell AP, Yeung A, Boughtwood T, Ewans LJ, Kerkhof J, Lucas C, Carey L, French H, Rapadas M, Stevanovski I, Deveson IW, Cliffe C, Elakis G, Kirk EP, Dudding-Byth T, Fletcher J, Walsh R, Corbett MA, Kroes T, Gecz J, Meldrum C, Cliffe S, Wall M, Lunke S, North K, Amor DJ, Field M, Sadikovic B, Buckley MF, O'Donnell-Luria A, Roscioli T. Narrowing the diagnostic gap: Genomes, episignatures, long-read sequencing, and health economic analyses in an exome-negative intellectual disability cohort. Genet Med 2024; 26:101076. [PMID: 38258669 DOI: 10.1016/j.gim.2024.101076] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Revised: 01/12/2024] [Accepted: 01/16/2024] [Indexed: 01/24/2024] Open
Abstract
PURPOSE Genome sequencing (GS)-specific diagnostic rates in prospective tightly ascertained exome sequencing (ES)-negative intellectual disability (ID) cohorts have not been reported extensively. METHODS ES, GS, epigenetic signatures, and long-read sequencing diagnoses were assessed in 74 trios with at least moderate ID. RESULTS The ES diagnostic yield was 42 of 74 (57%). GS diagnoses were made in 9 of 32 (28%) ES-unresolved families. Repeated ES with a contemporary pipeline on the GS-diagnosed families identified 8 of 9 single-nucleotide variations/copy-number variations undetected in older ES, confirming a GS-unique diagnostic rate of 1 in 32 (3%). Episignatures contributed diagnostic information in 9% with GS corroboration in 1 of 32 (3%) and diagnostic clues in 2 of 32 (6%). A genetic etiology for ID was detected in 51 of 74 (69%) families. Twelve candidate disease genes were identified. Contemporary ES followed by GS cost US$4976 (95% CI: $3704; $6969) per diagnosis and first-line GS at a cost of $7062 (95% CI: $6210; $8475) per diagnosis. CONCLUSION Performing GS only in ID trios would be cost equivalent to ES if GS were available at $2435, about a 60% reduction from current prices. This study demonstrates that first-line GS achieves higher diagnostic rate than contemporary ES but at a higher cost.
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Affiliation(s)
- Kerith-Rae Dias
- Neuroscience Research Australia, Sydney, NSW, Australia; Prince of Wales Clinical School, Faculty of Medicine and Health, University of New South Wales, Sydney, NSW, Australia
| | - Rupendra Shrestha
- Centre for Economic Impacts of Genomic Medicine, Macquarie Business School, Macquarie University, Sydney, NSW, Australia
| | - Deborah Schofield
- Centre for Economic Impacts of Genomic Medicine, Macquarie Business School, Macquarie University, Sydney, NSW, Australia
| | - Carey-Anne Evans
- Neuroscience Research Australia, Sydney, NSW, Australia; New South Wales Health Pathology Randwick Genomics, Prince of Wales Hospital, Sydney, NSW, Australia
| | - Emily O'Heir
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, Massachusetts
| | - Ying Zhu
- Neuroscience Research Australia, Sydney, NSW, Australia; New South Wales Health Pathology Randwick Genomics, Prince of Wales Hospital, Sydney, NSW, Australia; The Genetics of Learning Disability Service, Waratah, NSW, Australia
| | - Futao Zhang
- Neuroscience Research Australia, Sydney, NSW, Australia; New South Wales Health Pathology Randwick Genomics, Prince of Wales Hospital, Sydney, NSW, Australia
| | - Krystle Standen
- New South Wales Health Pathology Randwick Genomics, Prince of Wales Hospital, Sydney, NSW, Australia
| | - Ben Weisburd
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, Massachusetts
| | - Sarah L Stenton
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, Massachusetts
| | - Alba Sanchis-Juan
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, Massachusetts
| | - Harrison Brand
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, Massachusetts
| | - Michael E Talkowski
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, Massachusetts
| | - Alan Ma
- Department of Clinical Genetics, Children's Hospital at Westmead, Sydney Children's Hospital Network, Sydney, NSW, Australia; Specialty of Genomic Medicine, Sydney Medical School, University of Sydney, Sydney, NSW, Australia
| | - Sondy Ghedia
- Department of Clinical Genetics, Royal North Shore Hospital, Sydney, NSW, Australia; Northern Clinical School, Royal North Shore Hospital, Sydney, NSW, Australia
| | - Meredith Wilson
- Department of Clinical Genetics, Children's Hospital at Westmead, Sydney Children's Hospital Network, Sydney, NSW, Australia
| | - Sarah A Sandaradura
- Department of Clinical Genetics, Children's Hospital at Westmead, Sydney Children's Hospital Network, Sydney, NSW, Australia; Disciplines of Child and Adolescent Health and Genetic Medicine, University of Sydney, Sydney, NSW 2050, Australia
| | - Janine Smith
- Department of Clinical Genetics, Children's Hospital at Westmead, Sydney Children's Hospital Network, Sydney, NSW, Australia; Specialty of Genomic Medicine, Sydney Medical School, University of Sydney, Sydney, NSW, Australia
| | - Benjamin Kamien
- Genetic Services of Western Australia, Perth, WA, Australia; School of Paediatrics and Child Health, University of Western Australia, Perth, WA, Australia
| | - Anne Turner
- Centre for Clinical Genetics, Sydney Children's Hospital, Sydney, NSW, Australia
| | - Madhura Bakshi
- Department of Clinical Genetics, Liverpool Hospital, Sydney, NSW, Australia
| | - Lesley C Adès
- Department of Clinical Genetics, Children's Hospital at Westmead, Sydney Children's Hospital Network, Sydney, NSW, Australia; Disciplines of Child and Adolescent Health and Genetic Medicine, University of Sydney, Sydney, NSW 2050, Australia
| | - David Mowat
- Centre for Clinical Genetics, Sydney Children's Hospital, Sydney, NSW, Australia; Discipline of Paediatrics & Child Health, Faculty of Medicine and Health, School of Clinical Medicine, University of New South Wales, Sydney, NSW, Australia
| | - Matthew Regan
- Monash Genetics, Monash Health, Melbourne, VIC, Australia
| | - George McGillivray
- Victorian Clinical Genetics Services, Murdoch Children's Research Institute, Melbourne, VIC 3052, Australia
| | - Ravi Savarirayan
- Victorian Clinical Genetics Services, Murdoch Children's Research Institute, Melbourne, VIC 3052, Australia; Murdoch Children's Research Institute, Melbourne, VIC, Australia; Department of Paediatrics, University of Melbourne, Melbourne, VIC, Australia
| | - Susan M White
- Victorian Clinical Genetics Services, Murdoch Children's Research Institute, Melbourne, VIC 3052, Australia; Department of Paediatrics, University of Melbourne, Melbourne, VIC, Australia
| | - Tiong Yang Tan
- Victorian Clinical Genetics Services, Murdoch Children's Research Institute, Melbourne, VIC 3052, Australia; Murdoch Children's Research Institute, Melbourne, VIC, Australia; Department of Paediatrics, University of Melbourne, Melbourne, VIC, Australia
| | - Zornitza Stark
- Victorian Clinical Genetics Services, Murdoch Children's Research Institute, Melbourne, VIC 3052, Australia; Department of Paediatrics, University of Melbourne, Melbourne, VIC, Australia; Australian Genomics, Melbourne, VIC, Australia
| | - Natasha J Brown
- Victorian Clinical Genetics Services, Murdoch Children's Research Institute, Melbourne, VIC 3052, Australia; Murdoch Children's Research Institute, Melbourne, VIC, Australia; Department of Paediatrics, University of Melbourne, Melbourne, VIC, Australia
| | - Luis A Pérez-Jurado
- Genetics Unit, Universitat Pompeu Fabra, Institut Hospital del Mar d'Investigacions Mediques (IMIM), Centro de Investigación Biomédica en Red de Enfermedades Raras (CIBERER), Barcelona, Spain; Women's and Children's Hospital, South Australian Health and Medical Research Institute & University of Adelaide, Adelaide, SA, Australia
| | - Emma Krzesinski
- Monash Genetics, Monash Health, Melbourne, VIC, Australia; Department of Paediatrics, Monash University, Melbourne, VIC, Australia
| | - Matthew F Hunter
- Monash Genetics, Monash Health, Melbourne, VIC, Australia; Department of Paediatrics, Monash University, Melbourne, VIC, Australia
| | - Lauren Akesson
- Melbourne Pathology, Melbourne, VIC, Australia; Department of Pathology, The Royal Melbourne Hospital, Melbourne, VIC, Australia; Melbourne Medical School, University of Melbourne, Melbourne, VIC, Australia
| | - Andrew Paul Fennell
- Monash Genetics, Monash Health, Melbourne, VIC, Australia; Department of Paediatrics, Monash University, Melbourne, VIC, Australia
| | - Alison Yeung
- Victorian Clinical Genetics Services, Murdoch Children's Research Institute, Melbourne, VIC 3052, Australia; Murdoch Children's Research Institute, Melbourne, VIC, Australia; Department of Paediatrics, University of Melbourne, Melbourne, VIC, Australia
| | - Tiffany Boughtwood
- Murdoch Children's Research Institute, Melbourne, VIC, Australia; Australian Genomics, Melbourne, VIC, Australia
| | - Lisa J Ewans
- Centre for Clinical Genetics, Sydney Children's Hospital, Sydney, NSW, Australia; Discipline of Paediatrics & Child Health, Faculty of Medicine and Health, School of Clinical Medicine, University of New South Wales, Sydney, NSW, Australia; Genomics and Inherited Disease Program, Garvan Institute of Medical Research, University of New South Wales Sydney, Sydney, NSW, Australia
| | - Jennifer Kerkhof
- Verspeeten Clinical Genome Centre London Health Sciences Centre, London, ON, Canada
| | - Christopher Lucas
- New South Wales Health Pathology Randwick Genomics, Prince of Wales Hospital, Sydney, NSW, Australia
| | - Louise Carey
- New South Wales Health Pathology Randwick Genomics, Prince of Wales Hospital, Sydney, NSW, Australia
| | - Hugh French
- Department of Medical Genomics, Royal Prince Alfred Hospital, Sydney, NSW, Australia
| | - Melissa Rapadas
- Genomics and Inherited Disease Program, Garvan Institute of Medical Research, University of New South Wales Sydney, Sydney, NSW, Australia; Centre for Population Genomics, Garvan Institute of Medical Research and Murdoch Children's Research Institute, Sydney, NSW, Australia
| | - Igor Stevanovski
- Genomics and Inherited Disease Program, Garvan Institute of Medical Research, University of New South Wales Sydney, Sydney, NSW, Australia; Centre for Population Genomics, Garvan Institute of Medical Research and Murdoch Children's Research Institute, Sydney, NSW, Australia
| | - Ira W Deveson
- Genomics and Inherited Disease Program, Garvan Institute of Medical Research, University of New South Wales Sydney, Sydney, NSW, Australia; Centre for Population Genomics, Garvan Institute of Medical Research and Murdoch Children's Research Institute, Sydney, NSW, Australia; St Vincent's Clinical School, Faculty of Medicine, University of New South Wales, Sydney, NSW, Australia
| | - Corrina Cliffe
- New South Wales Health Pathology Randwick Genomics, Prince of Wales Hospital, Sydney, NSW, Australia
| | - George Elakis
- New South Wales Health Pathology Randwick Genomics, Prince of Wales Hospital, Sydney, NSW, Australia
| | - Edwin P Kirk
- New South Wales Health Pathology Randwick Genomics, Prince of Wales Hospital, Sydney, NSW, Australia; Centre for Clinical Genetics, Sydney Children's Hospital, Sydney, NSW, Australia; Discipline of Paediatrics & Child Health, Faculty of Medicine and Health, School of Clinical Medicine, University of New South Wales, Sydney, NSW, Australia
| | | | - Janice Fletcher
- New South Wales Health Pathology Randwick Genomics, Prince of Wales Hospital, Sydney, NSW, Australia
| | - Rebecca Walsh
- New South Wales Health Pathology Randwick Genomics, Prince of Wales Hospital, Sydney, NSW, Australia
| | - Mark A Corbett
- Adelaide Medical School and Robinson Research Institute, University of Adelaide, Adelaide, SA, Australia
| | - Thessa Kroes
- Adelaide Medical School and Robinson Research Institute, University of Adelaide, Adelaide, SA, Australia
| | - Jozef Gecz
- Adelaide Medical School and Robinson Research Institute, University of Adelaide, Adelaide, SA, Australia; South Australian Health and Medical Research Institute, Adelaide, SA, Australia
| | - Cliff Meldrum
- State Wide Service, New South Wales Health Pathology, Sydney, NSW, Australia
| | - Simon Cliffe
- State Wide Service, New South Wales Health Pathology, Sydney, NSW, Australia
| | - Meg Wall
- Victorian Clinical Genetics Services, Murdoch Children's Research Institute, Melbourne, VIC 3052, Australia
| | - Sebastian Lunke
- Victorian Clinical Genetics Services, Murdoch Children's Research Institute, Melbourne, VIC 3052, Australia
| | - Kathryn North
- Murdoch Children's Research Institute, Melbourne, VIC, Australia; Department of Paediatrics, University of Melbourne, Melbourne, VIC, Australia; Australian Genomics, Melbourne, VIC, Australia; Global Alliance for Genomics and Health, Toronto, ON, Canada
| | - David J Amor
- Murdoch Children's Research Institute, Melbourne, VIC, Australia; Department of Paediatrics, University of Melbourne, Melbourne, VIC, Australia
| | - Michael Field
- The Genetics of Learning Disability Service, Waratah, NSW, Australia
| | - Bekim Sadikovic
- Verspeeten Clinical Genome Centre London Health Sciences Centre, London, ON, Canada; Department of Pathology and Laboratory Medicine, Western University, London, ON, Canada
| | - Michael F Buckley
- New South Wales Health Pathology Randwick Genomics, Prince of Wales Hospital, Sydney, NSW, Australia
| | - Anne O'Donnell-Luria
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, Massachusetts; Division of Genetics and Genomics, Boston Children's Hospital, Boston, MA
| | - Tony Roscioli
- Neuroscience Research Australia, Sydney, NSW, Australia; Prince of Wales Clinical School, Faculty of Medicine and Health, University of New South Wales, Sydney, NSW, Australia; New South Wales Health Pathology Randwick Genomics, Prince of Wales Hospital, Sydney, NSW, Australia.
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18
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El‐Wahsh S, Fellner A, Hobbs M, Copty J, Deveson I, Stevanovski I, Stoll M, Zhu D, Narayanan RK, Grosz B, Worgan L, Cheong PL, Yeow D, Rudaks L, Hasan MM, Hayes VM, Kennerson M, Kumar KR, Hayes M. An Inversion Affecting the GCH1 Gene as a Novel Finding in Dopa-Responsive Dystonia. Mov Disord Clin Pract 2024; 11:582-585. [PMID: 38497520 PMCID: PMC11078477 DOI: 10.1002/mdc3.14023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2023] [Revised: 01/23/2024] [Accepted: 02/28/2024] [Indexed: 03/19/2024] Open
Affiliation(s)
- Shadi El‐Wahsh
- Neurology DepartmentConcord Repatriation General HospitalSydneyNew South WalesAustralia
- Faculty of MedicineUniversity of New South WalesSydneyNew South WalesAustralia
| | - Avi Fellner
- Garvan Institute of Medical ResearchSydneyNew South WalesAustralia
- The Neurogenetics Clinic, Raphael Recanati Genetics Institute, Rabin Medical Center, Beilinson HospitalPetah TikvaIsrael
| | - Matthew Hobbs
- Garvan Institute of Medical ResearchSydneyNew South WalesAustralia
| | - Joe Copty
- Garvan Institute of Medical ResearchSydneyNew South WalesAustralia
| | - Ira Deveson
- Garvan Institute of Medical ResearchSydneyNew South WalesAustralia
| | - Igor Stevanovski
- Garvan Institute of Medical ResearchSydneyNew South WalesAustralia
| | - Marion Stoll
- Molecular Medicine LaboratoryConcord Repatriation General HospitalSydneyNew South WalesAustralia
| | - Danqing Zhu
- Molecular Medicine LaboratoryConcord Repatriation General HospitalSydneyNew South WalesAustralia
| | - Ramesh K. Narayanan
- Northcott Neuroscience LaboratoryANZAC Research Institute—Sydney Local Health DistrictConcordNew South WalesAustralia
| | - Bianca Grosz
- Northcott Neuroscience LaboratoryANZAC Research Institute—Sydney Local Health DistrictConcordNew South WalesAustralia
| | - Lisa Worgan
- Clinical Genetics ServiceRoyal Prince Alfred HospitalSydneyNew South WalesAustralia
- Department of Medical GenomicsRoyal Prince Alfred HospitalSydneyNew South WalesAustralia
| | - Pak Leng Cheong
- Molecular Medicine LaboratoryConcord Repatriation General HospitalSydneyNew South WalesAustralia
- Concord Clinical School, Sydney Medical School, Faculty of Health and MedicineUniversity of SydneySydneyNew South WalesAustralia
- Royal Prince Alfred Hospital, New South Wales Health PathologySydneyNew South WalesAustralia
- Institute of Precision Medicine and Bioinformatics, Sydney Local Health DistrictSydneyNew South WalesAustralia
| | - Dennis Yeow
- Neurology DepartmentConcord Repatriation General HospitalSydneyNew South WalesAustralia
- Garvan Institute of Medical ResearchSydneyNew South WalesAustralia
- Molecular Medicine LaboratoryConcord Repatriation General HospitalSydneyNew South WalesAustralia
- Concord Clinical School, Sydney Medical School, Faculty of Health and MedicineUniversity of SydneySydneyNew South WalesAustralia
- Neuroscience Research AustraliaSydneyNew South WalesAustralia
| | - Laura Rudaks
- Neurology DepartmentConcord Repatriation General HospitalSydneyNew South WalesAustralia
- Garvan Institute of Medical ResearchSydneyNew South WalesAustralia
- Molecular Medicine LaboratoryConcord Repatriation General HospitalSydneyNew South WalesAustralia
- Concord Clinical School, Sydney Medical School, Faculty of Health and MedicineUniversity of SydneySydneyNew South WalesAustralia
| | - Md Mehedi Hasan
- Ancestry and Health Genomics Laboratory, Charles Perkins Centre, School of Medical Sciences, Faculty of Medicine and HealthUniversity of SydneySydneyNew South WalesAustralia
| | - Vanessa M. Hayes
- Ancestry and Health Genomics Laboratory, Charles Perkins Centre, School of Medical Sciences, Faculty of Medicine and HealthUniversity of SydneySydneyNew South WalesAustralia
- School of Health Systems & Public HealthUniversity of PretoriaPretoriaSouth Africa
- Manchester Cancer Research CentreUniversity of ManchesterManchesterUK
| | - Marina Kennerson
- Molecular Medicine LaboratoryConcord Repatriation General HospitalSydneyNew South WalesAustralia
- Northcott Neuroscience LaboratoryANZAC Research Institute—Sydney Local Health DistrictConcordNew South WalesAustralia
- Institute of Precision Medicine and Bioinformatics, Sydney Local Health DistrictSydneyNew South WalesAustralia
| | - Kishore R. Kumar
- Neurology DepartmentConcord Repatriation General HospitalSydneyNew South WalesAustralia
- Faculty of MedicineUniversity of New South WalesSydneyNew South WalesAustralia
- Garvan Institute of Medical ResearchSydneyNew South WalesAustralia
- Molecular Medicine LaboratoryConcord Repatriation General HospitalSydneyNew South WalesAustralia
- Concord Clinical School, Sydney Medical School, Faculty of Health and MedicineUniversity of SydneySydneyNew South WalesAustralia
- Institute of Precision Medicine and Bioinformatics, Sydney Local Health DistrictSydneyNew South WalesAustralia
| | - Michael Hayes
- Neurology DepartmentConcord Repatriation General HospitalSydneyNew South WalesAustralia
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19
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English AC, Dolzhenko E, Ziaei Jam H, McKenzie SK, Olson ND, De Coster W, Park J, Gu B, Wagner J, Eberle MA, Gymrek M, Chaisson MJP, Zook JM, Sedlazeck FJ. Analysis and benchmarking of small and large genomic variants across tandem repeats. Nat Biotechnol 2024:10.1038/s41587-024-02225-z. [PMID: 38671154 DOI: 10.1038/s41587-024-02225-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2023] [Accepted: 03/28/2024] [Indexed: 04/28/2024]
Abstract
Tandem repeats (TRs) are highly polymorphic in the human genome, have thousands of associated molecular traits and are linked to over 60 disease phenotypes. However, they are often excluded from at-scale studies because of challenges with variant calling and representation, as well as a lack of a genome-wide standard. Here, to promote the development of TR methods, we created a catalog of TR regions and explored TR properties across 86 haplotype-resolved long-read human assemblies. We curated variants from the Genome in a Bottle (GIAB) HG002 individual to create a TR dataset to benchmark existing and future TR analysis methods. We also present an improved variant comparison method that handles variants greater than 4 bp in length and varying allelic representation. The 8.1% of the genome covered by the TR catalog holds ~24.9% of variants per individual, including 124,728 small and 17,988 large variants for the GIAB HG002 'truth-set' TR benchmark. We demonstrate the utility of this pipeline across short-read and long-read technologies.
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Affiliation(s)
- Adam C English
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA.
| | | | - Helyaneh Ziaei Jam
- Department of Computer Science and Engineering, University of California, San Diego, La Jolla, CA, USA
| | | | - Nathan D Olson
- Material Measurement Laboratory, National Institute of Standards and Technology, Gaithersburg, MD, USA
| | - Wouter De Coster
- Applied and Translational Neurogenomics Group, VIB Center for Molecular Neurology, VIB, Antwerp, Belgium
- Applied and Translational Neurogenomics Group, Department of Biomedical Sciences, University of Antwerp, Antwerp, Belgium
| | - Jonghun Park
- Department of Computer Science and Engineering, University of California, San Diego, La Jolla, CA, USA
| | - Bida Gu
- Department of Quantitative and Computational Biology, University of Southern California, Los Angeles, CA, USA
| | - Justin Wagner
- Material Measurement Laboratory, National Institute of Standards and Technology, Gaithersburg, MD, USA
| | | | - Melissa Gymrek
- Department of Computer Science and Engineering, University of California, San Diego, La Jolla, CA, USA
- Department of Medicine, University of California, San Diego, La Jolla, CA, USA
| | - Mark J P Chaisson
- Department of Quantitative and Computational Biology, University of Southern California, Los Angeles, CA, USA
| | - Justin M Zook
- Material Measurement Laboratory, National Institute of Standards and Technology, Gaithersburg, MD, USA
| | - Fritz J Sedlazeck
- Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA.
- Department of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA.
- Department of Computer Science, Rice University, Houston, TX, USA.
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20
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Chen X, Zhang F, Shi Y, Wang H, Chen M, Yang D, Wang L, Liu P, Xie F, Chen J, Fu A, Hu B, Wang B, Ouyang Z, Wu S, Lin Z, Cen Z, Luo W. Origin and evolution of pentanucleotide repeat expansions at the familial cortical myoclonic tremor with epilepsy type1 - SAMD12 locus. Eur J Hum Genet 2024:10.1038/s41431-024-01586-y. [PMID: 38467733 DOI: 10.1038/s41431-024-01586-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2023] [Revised: 02/23/2024] [Accepted: 02/28/2024] [Indexed: 03/13/2024] Open
Abstract
Familial cortical myoclonic tremor with epilepsy type 1 (FCMTE1) is caused by (TTTTA)exp(TTTCA)exp repeat expansions in SAMD12, while pure (TTTTA)exp is polymorphic. Our investigation focused on the origin and evolution of pure (TTTTA)exp and (TTTTA)exp(TTTCA)exp at this locus. We observed a founder effect between them. The phylogenetic analysis suggested that the (TTTTA)exp(TTTCA)exp might be generated from pure (TTTTA)exp through infrequent transformation events. Long-read sequencing revealed somatic generation of (TTTTA)exp(TTTCA)exp from pure (TTTTA)exp, likely via long segment (TTTCA) repeats insertion. Our findings indicate close relationships between the non-pathogenic (TTTTA)exp and the pathogenic (TTTTA)exp(TTTCA)exp, with dynamic interconversions. This sheds light on the genesis of pathogenic repeat expansions from ancestral premutation alleles. Our results may guide future studies in detecting novel repeat expansion disorders and elucidating repeat expansion mutational processes, thereby enhancing our understanding of human genomic variation.
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Affiliation(s)
- Xinhui Chen
- Department of Neurology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310009, Zhejiang, China
| | - Fan Zhang
- Department of Neurology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310009, Zhejiang, China
| | - Yihua Shi
- Department of Neurology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310009, Zhejiang, China
| | - Haotian Wang
- Department of Neurology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310009, Zhejiang, China
| | - Miao Chen
- Department of Neurology, Zhuji Affiliated Hospital of Wenzhou Medical University, Zhuji, China
| | - Dehao Yang
- Department of Neurology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310009, Zhejiang, China
| | - Lebo Wang
- Department of Neurology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310009, Zhejiang, China
| | - Peng Liu
- Department of Neurology, Taizhou Central Hospital (Taizhou University Hospital), Taizhou, Zhejiang, China
| | - Fei Xie
- Department of Neurology, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, 310020, Zhejiang, China
| | - Jiawen Chen
- Department of Neurology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310009, Zhejiang, China
| | - Aisi Fu
- Wuhan Dgensee Clinical Laboratory Co., Ltd. Wuhan, Wuhan, 430075, China
| | - Ben Hu
- Center for Tumor Precision Diagnosis, Zhongnan Hospital of Wuhan University, Wuhan, 430062, China
| | - Bo Wang
- Department of Neurology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310009, Zhejiang, China
| | - Zhiyuan Ouyang
- Department of Neurology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310009, Zhejiang, China
| | - Sheng Wu
- Department of Neurology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310009, Zhejiang, China
| | - Zhiru Lin
- Department of Neurology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310009, Zhejiang, China
| | - Zhidong Cen
- Department of Neurology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310009, Zhejiang, China.
| | - Wei Luo
- Department of Neurology, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310009, Zhejiang, China.
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21
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Olivucci G, Iovino E, Innella G, Turchetti D, Pippucci T, Magini P. Long read sequencing on its way to the routine diagnostics of genetic diseases. Front Genet 2024; 15:1374860. [PMID: 38510277 PMCID: PMC10951082 DOI: 10.3389/fgene.2024.1374860] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2024] [Accepted: 02/26/2024] [Indexed: 03/22/2024] Open
Abstract
The clinical application of technological progress in the identification of DNA alterations has always led to improvements of diagnostic yields in genetic medicine. At chromosome side, from cytogenetic techniques evaluating number and gross structural defects to genomic microarrays detecting cryptic copy number variants, and at molecular level, from Sanger method studying the nucleotide sequence of single genes to the high-throughput next-generation sequencing (NGS) technologies, resolution and sensitivity progressively increased expanding considerably the range of detectable DNA anomalies and alongside of Mendelian disorders with known genetic causes. However, particular genomic regions (i.e., repetitive and GC-rich sequences) are inefficiently analyzed by standard genetic tests, still relying on laborious, time-consuming and low-sensitive approaches (i.e., southern-blot for repeat expansion or long-PCR for genes with highly homologous pseudogenes), accounting for at least part of the patients with undiagnosed genetic disorders. Third generation sequencing, generating long reads with improved mappability, is more suitable for the detection of structural alterations and defects in hardly accessible genomic regions. Although recently implemented and not yet clinically available, long read sequencing (LRS) technologies have already shown their potential in genetic medicine research that might greatly impact on diagnostic yield and reporting times, through their translation to clinical settings. The main investigated LRS application concerns the identification of structural variants and repeat expansions, probably because techniques for their detection have not evolved as rapidly as those dedicated to single nucleotide variants (SNV) identification: gold standard analyses are karyotyping and microarrays for balanced and unbalanced chromosome rearrangements, respectively, and southern blot and repeat-primed PCR for the amplification and sizing of expanded alleles, impaired by limited resolution and sensitivity that have not been significantly improved by the advent of NGS. Nevertheless, more recently, with the increased accuracy provided by the latest product releases, LRS has been tested also for SNV detection, especially in genes with highly homologous pseudogenes and for haplotype reconstruction to assess the parental origin of alleles with de novo pathogenic variants. We provide a review of relevant recent scientific papers exploring LRS potential in the diagnosis of genetic diseases and its potential future applications in routine genetic testing.
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Affiliation(s)
- Giulia Olivucci
- IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy
- Department of Surgical and Oncological Sciences, University of Palermo, Palermo, Italy
| | - Emanuela Iovino
- IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy
| | - Giovanni Innella
- Department of Medical and Surgical Sciences (DIMEC), University of Bologna, Bologna, Italy
- Medical Genetics Unit, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy
| | - Daniela Turchetti
- Department of Medical and Surgical Sciences (DIMEC), University of Bologna, Bologna, Italy
- Medical Genetics Unit, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy
| | - Tommaso Pippucci
- IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy
| | - Pamela Magini
- Medical Genetics Unit, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy
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22
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Faust H, Duffek P, Hentschel J, Popp D. Evaluation of Automated Magnetic Bead-Based DNA Extraction for Detection of Short Tandem Repeat Expansions With Nanopore Sequencing. J Clin Lab Anal 2024; 38:e25029. [PMID: 38506401 PMCID: PMC10997813 DOI: 10.1002/jcla.25029] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2023] [Revised: 02/05/2024] [Accepted: 03/01/2024] [Indexed: 03/21/2024] Open
Abstract
BACKGROUND Long-read technologies such as nanopore sequencing provide new opportunities to detect short tandem repeat expansions. Therefore, a DNA extraction method is necessary that minimizes DNA fragmentation and hence allows the identification of large repeat expansions. In this study, an automated magnetic bead-based DNA extraction method and the required EDTA blood storage conditions as well as DNA and sequencing quality were evaluated for their suitability for repeat expansion detection with nanopore sequencing. METHODS DNA was extracted from EDTA blood, and subsequently, its concentration, purity, and integrity were assessed. DNA was then subjected to nanopore sequencing, and quality metrics of the obtained sequencing data were evaluated. RESULTS DNA extracted from fresh EDTA blood as well as from cooled or frozen EDTA blood revealed high DNA integrity whereas storage at room temperature over 7 days had detrimental effects. After nanopore sequencing, the read length N50 values of approximately 9 kb were obtained, and based on adaptive sampling of samples with a known repeat expansion, repeat expansions up to 10 kb could be detected. CONCLUSION The automated magnetic bead-based DNA extraction was sufficient to detect short tandem repeat expansions, omitting the need for high-molecular-weight DNA extraction methods. Therefore, DNA should be extracted either from fresh blood or from blood stored in cooled or frozen conditions. Consequently, this study may help other laboratories to evaluate their DNA extraction method regarding the suitability for detecting repeat expansions with nanopore sequencing.
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Affiliation(s)
- Helene Faust
- Institute of Human GeneticsUniversity of Leipzig Medical CenterLeipzigGermany
| | - Patricia Duffek
- Institute of Human GeneticsUniversity of Leipzig Medical CenterLeipzigGermany
| | - Julia Hentschel
- Institute of Human GeneticsUniversity of Leipzig Medical CenterLeipzigGermany
| | - Denny Popp
- Institute of Human GeneticsUniversity of Leipzig Medical CenterLeipzigGermany
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23
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Mitina A, Khan M, Lesurf R, Yin Y, Engchuan W, Hamdan O, Pellecchia G, Trost B, Backstrom I, Guo K, Pallotto LM, Lam Doong PH, Wang Z, Nalpathamkalam T, Thiruvahindrapuram B, Papaz T, Pearson CE, Ragoussis J, Subbarao P, Azad MB, Turvey SE, Mandhane P, Moraes TJ, Simons E, Scherer SW, Lougheed J, Mondal T, Smythe J, Altamirano-Diaz L, Oechslin E, Mital S, Yuen RKC. Genome-wide enhancer-associated tandem repeats are expanded in cardiomyopathy. EBioMedicine 2024; 101:105027. [PMID: 38418263 PMCID: PMC10944212 DOI: 10.1016/j.ebiom.2024.105027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2023] [Revised: 02/05/2024] [Accepted: 02/06/2024] [Indexed: 03/01/2024] Open
Abstract
BACKGROUND Cardiomyopathy is a clinically and genetically heterogeneous heart condition that can lead to heart failure and sudden cardiac death in childhood. While it has a strong genetic basis, the genetic aetiology for over 50% of cardiomyopathy cases remains unknown. METHODS In this study, we analyse the characteristics of tandem repeats from genome sequence data of unrelated individuals diagnosed with cardiomyopathy from Canada and the United Kingdom (n = 1216) and compare them to those found in the general population. We perform burden analysis to identify genomic and epigenomic features that are impacted by rare tandem repeat expansions (TREs), and enrichment analysis to identify functional pathways that are involved in the TRE-associated genes in cardiomyopathy. We use Oxford Nanopore targeted long-read sequencing to validate repeat size and methylation status of one of the most recurrent TREs. We also compare the TRE-associated genes to those that are dysregulated in the heart tissues of individuals with cardiomyopathy. FINDINGS We demonstrate that tandem repeats that are rarely expanded in the general population are predominantly expanded in cardiomyopathy. We find that rare TREs are disproportionately present in constrained genes near transcriptional start sites, have high GC content, and frequently overlap active enhancer H3K27ac marks, where expansion-related DNA methylation may reduce gene expression. We demonstrate the gene silencing effect of expanded CGG tandem repeats in DIP2B through promoter hypermethylation. We show that the enhancer-associated loci are found in genes that are highly expressed in human cardiomyocytes and are differentially expressed in the left ventricle of the heart in individuals with cardiomyopathy. INTERPRETATION Our findings highlight the underrecognized contribution of rare tandem repeat expansions to the risk of cardiomyopathy and suggest that rare TREs contribute to ∼4% of cardiomyopathy risk. FUNDING Government of Ontario (RKCY), The Canadian Institutes of Health Research PJT 175329 (RKCY), The Azrieli Foundation (RKCY), SickKids Catalyst Scholar in Genetics (RKCY), The University of Toronto McLaughlin Centre (RKCY, SM), Ted Rogers Centre for Heart Research (SM), Data Sciences Institute at the University of Toronto (SM), The Canadian Institutes of Health Research PJT 175034 (SM), The Canadian Institutes of Health Research ENP 161429 under the frame of ERA PerMed (SM, RL), Heart and Stroke Foundation of Ontario & Robert M Freedom Chair in Cardiovascular Science (SM), Bitove Family Professorship of Adult Congenital Heart Disease (EO), Canada Foundation for Innovation (SWS, JR), Canada Research Chair (PS), Genome Canada (PS, JR), The Canadian Institutes of Health Research (PS).
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Affiliation(s)
- Aleksandra Mitina
- Genetics and Genome Biology, The Hospital for Sick Children; Toronto, Ontario, Canada
| | - Mahreen Khan
- Genetics and Genome Biology, The Hospital for Sick Children; Toronto, Ontario, Canada; Department of Molecular Genetics, University of Toronto; Toronto, Ontario, Canada
| | - Robert Lesurf
- Genetics and Genome Biology, The Hospital for Sick Children; Toronto, Ontario, Canada
| | - Yue Yin
- Genetics and Genome Biology, The Hospital for Sick Children; Toronto, Ontario, Canada
| | - Worrawat Engchuan
- Genetics and Genome Biology, The Hospital for Sick Children; Toronto, Ontario, Canada; The Centre for Applied Genomics, The Hospital for Sick Children; Toronto, Ontario, Canada
| | - Omar Hamdan
- Genetics and Genome Biology, The Hospital for Sick Children; Toronto, Ontario, Canada; The Centre for Applied Genomics, The Hospital for Sick Children; Toronto, Ontario, Canada
| | - Giovanna Pellecchia
- Genetics and Genome Biology, The Hospital for Sick Children; Toronto, Ontario, Canada; The Centre for Applied Genomics, The Hospital for Sick Children; Toronto, Ontario, Canada
| | - Brett Trost
- Genetics and Genome Biology, The Hospital for Sick Children; Toronto, Ontario, Canada; The Centre for Applied Genomics, The Hospital for Sick Children; Toronto, Ontario, Canada
| | - Ian Backstrom
- Genetics and Genome Biology, The Hospital for Sick Children; Toronto, Ontario, Canada
| | - Keyi Guo
- Genetics and Genome Biology, The Hospital for Sick Children; Toronto, Ontario, Canada
| | - Linda M Pallotto
- Genetics and Genome Biology, The Hospital for Sick Children; Toronto, Ontario, Canada
| | - Phoenix Hoi Lam Doong
- Genetics and Genome Biology, The Hospital for Sick Children; Toronto, Ontario, Canada
| | - Zhuozhi Wang
- Genetics and Genome Biology, The Hospital for Sick Children; Toronto, Ontario, Canada; The Centre for Applied Genomics, The Hospital for Sick Children; Toronto, Ontario, Canada
| | - Thomas Nalpathamkalam
- Genetics and Genome Biology, The Hospital for Sick Children; Toronto, Ontario, Canada; The Centre for Applied Genomics, The Hospital for Sick Children; Toronto, Ontario, Canada
| | - Bhooma Thiruvahindrapuram
- Genetics and Genome Biology, The Hospital for Sick Children; Toronto, Ontario, Canada; The Centre for Applied Genomics, The Hospital for Sick Children; Toronto, Ontario, Canada
| | - Tanya Papaz
- Ted Rogers Centre for Heart Research; Toronto, Ontario, Canada; Division of Cardiology, Department of Pediatrics, The Hospital for Sick Children, University of Toronto; Toronto, Ontario, Canada
| | - Christopher E Pearson
- Genetics and Genome Biology, The Hospital for Sick Children; Toronto, Ontario, Canada; Department of Molecular Genetics, University of Toronto; Toronto, Ontario, Canada
| | - Jiannis Ragoussis
- McGill Genome Centre, Victor Phillip Dahdaleh Institute of Genomic Medicine, McGill University, Montreal, Quebec, Canada
| | - Padmaja Subbarao
- Department of Paediatrics, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada; Department of Physiology, University of Toronto, Toronto, Ontario, Canada; Program in Translation Medicine & Division of Respiratory Medicine, The Hospital for Sick Children, Toronto, Ontario, Canada
| | - Meghan B Azad
- Department of Pediatrics and Child Health, University of Manitoba, Winnipeg, Manitoba, Canada
| | - Stuart E Turvey
- Department of Pediatrics, BC Children's Hospital, University of British Columbia, Vancouver, British Columbia, Canada
| | - Piushkumar Mandhane
- Department of Pediatrics, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, Alberta, Canada
| | - Theo J Moraes
- Department of Paediatrics, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada; Program in Translation Medicine & Division of Respiratory Medicine, The Hospital for Sick Children, Toronto, Ontario, Canada
| | - Elinor Simons
- Department of Pediatrics and Child Health, Section of Allergy and Clinical Immunology, University of Manitoba, Winnipeg, Manitoba, Canada; Children's Hospital Research Institute of Manitoba, Winnipeg, Manitoba, Canada
| | - Stephen W Scherer
- Genetics and Genome Biology, The Hospital for Sick Children; Toronto, Ontario, Canada; The Centre for Applied Genomics, The Hospital for Sick Children; Toronto, Ontario, Canada; Department of Molecular Genetics and McLaughlin Centre, University of Toronto, Toronto, Ontario, Canada
| | - Jane Lougheed
- Division of Cardiology, Children's Hospital of Eastern Ontario, Ottawa, Ontario, Canada
| | - Tapas Mondal
- Division of Cardiology, Department of Pediatrics, McMaster Children's Hospital, Hamilton, Ontario, Canada
| | - John Smythe
- Division of Cardiology, Department of Pediatrics, Kingston General Hospital, Kingston, Ontario, Canada
| | - Luis Altamirano-Diaz
- Division of Cardiology, Department of Pediatrics, London Health Sciences Centre, London, Ontario, Canada
| | - Erwin Oechslin
- Division of Cardiology, Toronto Adult Congenital Heart Disease Program at Peter Munk Cardiac Centre, Department of Medicine, University Health Network, and University of Toronto, Toronto, Ontario, Canada
| | - Seema Mital
- Genetics and Genome Biology, The Hospital for Sick Children; Toronto, Ontario, Canada; Ted Rogers Centre for Heart Research; Toronto, Ontario, Canada; Division of Cardiology, Department of Pediatrics, The Hospital for Sick Children, University of Toronto; Toronto, Ontario, Canada.
| | - Ryan K C Yuen
- Genetics and Genome Biology, The Hospital for Sick Children; Toronto, Ontario, Canada; Department of Molecular Genetics, University of Toronto; Toronto, Ontario, Canada; The Centre for Applied Genomics, The Hospital for Sick Children; Toronto, Ontario, Canada.
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24
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Kingsmore SF, Nofsinger R, Ellsworth K. Rapid genomic sequencing for genetic disease diagnosis and therapy in intensive care units: a review. NPJ Genom Med 2024; 9:17. [PMID: 38413639 PMCID: PMC10899612 DOI: 10.1038/s41525-024-00404-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2023] [Accepted: 02/15/2024] [Indexed: 02/29/2024] Open
Abstract
Single locus (Mendelian) diseases are a leading cause of childhood hospitalization, intensive care unit (ICU) admission, mortality, and healthcare cost. Rapid genome sequencing (RGS), ultra-rapid genome sequencing (URGS), and rapid exome sequencing (RES) are diagnostic tests for genetic diseases for ICU patients. In 44 studies of children in ICUs with diseases of unknown etiology, 37% received a genetic diagnosis, 26% had consequent changes in management, and net healthcare costs were reduced by $14,265 per child tested by URGS, RGS, or RES. URGS outperformed RGS and RES with faster time to diagnosis, and higher rate of diagnosis and clinical utility. Diagnostic and clinical outcomes will improve as methods evolve, costs decrease, and testing is implemented within precision medicine delivery systems attuned to ICU needs. URGS, RGS, and RES are currently performed in <5% of the ~200,000 children likely to benefit annually due to lack of payor coverage, inadequate reimbursement, hospital policies, hospitalist unfamiliarity, under-recognition of possible genetic diseases, and current formatting as tests rather than as a rapid precision medicine delivery system. The gap between actual and optimal outcomes in children in ICUs is currently increasing since expanded use of URGS, RGS, and RES lags growth in those likely to benefit through new therapies. There is sufficient evidence to conclude that URGS, RGS, or RES should be considered in all children with diseases of uncertain etiology at ICU admission. Minimally, diagnostic URGS, RGS, or RES should be ordered early during admissions of critically ill infants and children with suspected genetic diseases.
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Affiliation(s)
- Stephen F Kingsmore
- Rady Children's Institute for Genomic Medicine, Rady Children's Hospital, San Diego, CA, USA.
| | - Russell Nofsinger
- Rady Children's Institute for Genomic Medicine, Rady Children's Hospital, San Diego, CA, USA
| | - Kasia Ellsworth
- Rady Children's Institute for Genomic Medicine, Rady Children's Hospital, San Diego, CA, USA
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25
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Rudaks LI, Yeow D, Kumar KR. Expert commentary for fragile X premutation mimicking late onset hereditary spastic paraplegia. Parkinsonism Relat Disord 2024; 119:105969. [PMID: 38155044 DOI: 10.1016/j.parkreldis.2023.105969] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/13/2023] [Accepted: 12/18/2023] [Indexed: 12/30/2023]
Affiliation(s)
- Laura Ivete Rudaks
- Translational Neurogenomics Group, Concord Repatriation General Hospital, Hospital Rd, Concord, NSW, 2139, Australia; Molecular Medicine Laboratory and Neurology Department, Concord Repatriation General Hospital, Hospital Rd, Concord, NSW, 2139, Australia; The University of Sydney, Camperdown, NSW, 2050, Australia; Genomic and Inherited Disease Program, The Garvan Institute of Medical Research, 384 Victoria St, Darlinghurst, NSW, 2010, Australia; Clinical Genetics Unit, Royal North Shore Hospital, Reserve Rd, St Leonards, NSW, 2065, Australia.
| | - Dennis Yeow
- Translational Neurogenomics Group, Concord Repatriation General Hospital, Hospital Rd, Concord, NSW, 2139, Australia; Molecular Medicine Laboratory and Neurology Department, Concord Repatriation General Hospital, Hospital Rd, Concord, NSW, 2139, Australia; The University of Sydney, Camperdown, NSW, 2050, Australia; Genomic and Inherited Disease Program, The Garvan Institute of Medical Research, 384 Victoria St, Darlinghurst, NSW, 2010, Australia; Neurodegenerative Service, Prince of Wales Hospital, Randwick, NSW, 2031, Australia; Neuroscience Research Australia, Randwick, NSW, 2031, Australia.
| | - Kishore Raj Kumar
- Translational Neurogenomics Group, Concord Repatriation General Hospital, Hospital Rd, Concord, NSW, 2139, Australia; Molecular Medicine Laboratory and Neurology Department, Concord Repatriation General Hospital, Hospital Rd, Concord, NSW, 2139, Australia; The University of Sydney, Camperdown, NSW, 2050, Australia; Genomic and Inherited Disease Program, The Garvan Institute of Medical Research, 384 Victoria St, Darlinghurst, NSW, 2010, Australia; St Vincent's Healthcare Campus, Faculty of Medicine, UNSW Sydney, Level 5, De Lacy Building, St Vincent's Hospital, Darlinghurst, NSW, 2010, Australia.
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26
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Tachikawa K, Shimizu T, Imai T, Ko R, Kawai Y, Omae Y, Tokunaga K, Frith MC, Yamano Y, Mitsuhashi S. Cost-Effective Cas9-Mediated Targeted Sequencing of Spinocerebellar Ataxia Repeat Expansions. J Mol Diagn 2024; 26:85-95. [PMID: 38008286 DOI: 10.1016/j.jmoldx.2023.10.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2023] [Revised: 10/09/2023] [Accepted: 10/23/2023] [Indexed: 11/28/2023] Open
Abstract
Hereditary repeat diseases are caused by an abnormal expansion of short tandem repeats in the genome. Among them, spinocerebellar ataxia (SCA) is a heterogeneous disease, and currently, 16 responsible repeats are known. Genetic diagnosis is obtained by analyzing the number of repeats through separate testing of each repeat. Although simultaneous detection of candidate repeats using current massively parallel sequencing technologies has been developed to avoid complicated multiple experiments, these methods are generally expensive. This study developed a cost-effective SCA repeat panel [Flongle SCA repeat panel sequencing (FLO-SCAp)] using Cas9-mediated targeted long-read sequencing and the smallest long-read sequencing apparatus, Flongle. This panel enabled the detection of repeat copy number changes, internal repeat sequences, and DNA methylation in seven patients with different repeat expansion diseases. The median (interquartile range) values of coverage and on-target rate were 39.5 (12 to 72) and 11.6% (7.5% to 16.5%), respectively. This approach was validated by comparing repeat copy number changes measured by FLO-SCAp and short-read whole-genome sequencing. A high correlation was observed between FLO-SCAp and short-read whole-genome sequencing when the repeat length was ≤250 bp (r = 0.98; P < 0.001). Thus, FLO-SCAp represents the most cost-effective method for conducting multiplex testing of repeats and can serve as the first-line diagnostic tool for SCA.
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Affiliation(s)
- Keiji Tachikawa
- Department of Neurology, St. Marianna University School of Medicine, Kawasaki, Japan
| | - Takahiro Shimizu
- Department of Neurology, St. Marianna University School of Medicine, Kawasaki, Japan
| | - Takeshi Imai
- Department of Neurology, St. Marianna University School of Medicine, Kawasaki, Japan
| | - Riyoko Ko
- Department of Neurology, St. Marianna University School of Medicine, Kawasaki, Japan
| | - Yosuke Kawai
- Genome Medical Science Project, National Center for Global Health and Medicine, Tokyo, Japan
| | - Yosuke Omae
- Genome Medical Science Project, National Center for Global Health and Medicine, Tokyo, Japan
| | - Katsushi Tokunaga
- Genome Medical Science Project, National Center for Global Health and Medicine, Tokyo, Japan
| | - Martin C Frith
- Artificial Intelligence Research Center, National Institute of Advanced Industrial Science and Technology (AIST), Tokyo, Japan; Graduate School of Frontier Sciences, University of Tokyo, Kashiwa, Japan; Computational Bio Big-Data Open Innovation Laboratory, National Institute of Advanced Industrial Science and Technology (AIST), Tokyo, Japan
| | - Yoshihisa Yamano
- Department of Neurology, St. Marianna University School of Medicine, Kawasaki, Japan; Department of Rare Diseases Research, Institute of Medical Science, St. Marianna University School of Medicine, Kawasaki, Japan
| | - Satomi Mitsuhashi
- Department of Neurology, St. Marianna University School of Medicine, Kawasaki, Japan.
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27
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Wang S, Mao X, Wang F, Zuo X, Fan C. Data Storage Using DNA. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2024; 36:e2307499. [PMID: 37800877 DOI: 10.1002/adma.202307499] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/27/2023] [Revised: 10/01/2023] [Indexed: 10/07/2023]
Abstract
The exponential growth of global data has outpaced the storage capacities of current technologies, necessitating innovative storage strategies. DNA, as a natural medium for preserving genetic information, has emerged as a highly promising candidate for next-generation storage medium. Storing data in DNA offers several advantages, including ultrahigh physical density and exceptional durability. Facilitated by significant advancements in various technologies, such as DNA synthesis, DNA sequencing, and DNA nanotechnology, remarkable progress has been made in the field of DNA data storage over the past decade. However, several challenges still need to be addressed to realize practical applications of DNA data storage. In this review, the processes and strategies of in vitro DNA data storage are first introduced, highlighting recent advancements. Next, a brief overview of in vivo DNA data storage is provided, with a focus on the various writing strategies developed to date. At last, the challenges encountered in each step of DNA data storage are summarized and promising techniques are discussed that hold great promise in overcoming these obstacles.
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Affiliation(s)
- Shaopeng Wang
- Institute of Molecular Medicine, Shanghai Key Laboratory for Nucleic Acids Chemistry and Nanomedicine, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, China
| | - Xiuhai Mao
- Institute of Molecular Medicine, Shanghai Key Laboratory for Nucleic Acids Chemistry and Nanomedicine, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, China
| | - Fei Wang
- School of Chemistry and Chemical Engineering, New Cornerstone Science Laboratory, Frontiers Science Center for Transformative Molecules, Zhangjiang Institute for Advanced Study and National Center for Translational Medicine, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Xiaolei Zuo
- Institute of Molecular Medicine, Shanghai Key Laboratory for Nucleic Acids Chemistry and Nanomedicine, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, China
- School of Chemistry and Chemical Engineering, New Cornerstone Science Laboratory, Frontiers Science Center for Transformative Molecules, Zhangjiang Institute for Advanced Study and National Center for Translational Medicine, Shanghai Jiao Tong University, Shanghai, 200240, China
| | - Chunhai Fan
- Institute of Molecular Medicine, Shanghai Key Laboratory for Nucleic Acids Chemistry and Nanomedicine, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127, China
- School of Chemistry and Chemical Engineering, New Cornerstone Science Laboratory, Frontiers Science Center for Transformative Molecules, Zhangjiang Institute for Advanced Study and National Center for Translational Medicine, Shanghai Jiao Tong University, Shanghai, 200240, China
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28
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Safar HA, Alatar F, Mustafa AS. Three Rounds of Read Correction Significantly Improve Eukaryotic Protein Detection in ONT Reads. Microorganisms 2024; 12:247. [PMID: 38399651 PMCID: PMC10893331 DOI: 10.3390/microorganisms12020247] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2023] [Revised: 01/19/2024] [Accepted: 01/23/2024] [Indexed: 02/25/2024] Open
Abstract
BACKGROUND Eukaryotes' whole-genome sequencing is crucial for species identification, gene detection, and protein annotation. Oxford Nanopore Technology (ONT) is an affordable and rapid platform for sequencing eukaryotes; however, the relatively higher error rates require computational and bioinformatic efforts to produce more accurate genome assemblies. Here, we evaluated the effect of read correction tools on eukaryote genome completeness, gene detection and protein annotation. METHODS Reads generated by ONT of four eukaryotes, C. albicans, C. gattii, S. cerevisiae, and P. falciparum, were assembled using minimap2 and underwent three rounds of read correction using flye, medaka and racon. The generates consensus FASTA files were compared for total length (bp), genome completeness, gene detection, and protein-annotation by QUAST, BUSCO, BRAKER1 and InterProScan, respectively. RESULTS Genome completeness was dependent on the assembly method rather than on the read correction tool; however, medaka performed better than flye and racon. Racon significantly performed better than flye and medaka in gene detection, while both racon and medaka significantly performed better than flye in protein-annotation. CONCLUSION We show that three rounds of read correction significantly affect gene detection and protein annotation, which are dependent on assembly quality in preference to assembly completeness.
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Affiliation(s)
- Hussain A. Safar
- OMICS Research Unit, Health Science Centre, Kuwait University, Kuwait City 13110, Kuwait;
| | - Fatemah Alatar
- Serology and Molecular Microbiology Reference Laboratory, Mubarak Al-Kabeer Hospital, Ministry of Health, Kuwait City 13110, Kuwait;
| | - Abu Salim Mustafa
- Department of Microbiology, Faculty of Medicine, Kuwait University, Kuwait City 13110, Kuwait
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29
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Wang J, Yang L, Cheng A, Tham CY, Tan W, Darmawan J, de Sessions PF, Wan Y. Direct RNA sequencing coupled with adaptive sampling enriches RNAs of interest in the transcriptome. Nat Commun 2024; 15:481. [PMID: 38212309 PMCID: PMC10784512 DOI: 10.1038/s41467-023-44656-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2023] [Accepted: 12/22/2023] [Indexed: 01/13/2024] Open
Abstract
Abundant cellular transcripts occupy most of the sequencing reads in the transcriptome, making it challenging to assay for low-abundant transcripts. Here, we utilize the adaptive sampling function of Oxford Nanopore sequencing to selectively deplete and enrich RNAs of interest without biochemical manipulation before sequencing. Adaptive sampling performed on a pool of in vitro transcribed RNAs resulted in a net increase of 22-30% in the proportion of transcripts of interest in the population. Enriching and depleting different proportions of the Candida albicans transcriptome also resulted in a 11-13.5% increase in the number of reads on target transcripts, with longer and more abundant transcripts being more efficiently depleted. Depleting all currently annotated Candida albicans transcripts did not result in an absolute enrichment of remaining transcripts, although we identified 26 previously unknown transcripts and isoforms, 17 of which are antisense to existing transcripts. Further improvements in the adaptive sampling of RNAs will allow the technology to be widely applied to study RNAs of interest in diverse transcriptomes.
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Affiliation(s)
- Jiaxu Wang
- Stem Cell and Regenerative Biology, Genome Institute of Singapore, A*STAR, Singapore, 138672, Singapore
| | - Lin Yang
- Oxford Nanopore Technologies, Singapore, 138667, Singapore
| | - Anthony Cheng
- Stem Cell and Regenerative Biology, Genome Institute of Singapore, A*STAR, Singapore, 138672, Singapore
| | | | - Wenting Tan
- Stem Cell and Regenerative Biology, Genome Institute of Singapore, A*STAR, Singapore, 138672, Singapore
| | - Jefferson Darmawan
- Stem Cell and Regenerative Biology, Genome Institute of Singapore, A*STAR, Singapore, 138672, Singapore
| | | | - Yue Wan
- Stem Cell and Regenerative Biology, Genome Institute of Singapore, A*STAR, Singapore, 138672, Singapore.
- Department of Biochemistry, National University of Singapore, Singapore, 117596, Singapore.
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30
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Mondello A, Dal Bo M, Toffoli G, Polano M. Machine learning in onco-pharmacogenomics: a path to precision medicine with many challenges. Front Pharmacol 2024; 14:1260276. [PMID: 38264526 PMCID: PMC10803549 DOI: 10.3389/fphar.2023.1260276] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2023] [Accepted: 12/26/2023] [Indexed: 01/25/2024] Open
Abstract
Over the past two decades, Next-Generation Sequencing (NGS) has revolutionized the approach to cancer research. Applications of NGS include the identification of tumor specific alterations that can influence tumor pathobiology and also impact diagnosis, prognosis and therapeutic options. Pharmacogenomics (PGx) studies the role of inheritance of individual genetic patterns in drug response and has taken advantage of NGS technology as it provides access to high-throughput data that can, however, be difficult to manage. Machine learning (ML) has recently been used in the life sciences to discover hidden patterns from complex NGS data and to solve various PGx problems. In this review, we provide a comprehensive overview of the NGS approaches that can be employed and the different PGx studies implicating the use of NGS data. We also provide an excursus of the ML algorithms that can exert a role as fundamental strategies in the PGx field to improve personalized medicine in cancer.
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Affiliation(s)
| | | | | | - Maurizio Polano
- Experimental and Clinical Pharmacology Unit, Centro di Riferimento Oncologico di Aviano (CRO), Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Aviano, Italy
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31
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Damaraju N, Miller AL, Miller DE. Long-Read DNA and RNA Sequencing to Streamline Clinical Genetic Testing and Reduce Barriers to Comprehensive Genetic Testing. J Appl Lab Med 2024; 9:138-150. [PMID: 38167773 DOI: 10.1093/jalm/jfad107] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2023] [Accepted: 10/24/2023] [Indexed: 01/05/2024]
Abstract
BACKGROUND Obtaining a precise molecular diagnosis through clinical genetic testing provides information about disease prognosis or progression, allows accurate counseling about recurrence risk, and empowers individuals to benefit from precision therapies or take part in N-of-1 trials. Unfortunately, more than half of individuals with a suspected Mendelian condition remain undiagnosed after a comprehensive clinical evaluation, and the results of any individual clinical genetic test ordered during a typical evaluation may take weeks or months to return. Furthermore, commonly used technologies, such as short-read sequencing, are limited in the types of disease-causing variation they can identify. New technologies, such as long-read sequencing (LRS), are poised to solve these problems. CONTENT Recent technical advances have improved accuracy, increased throughput, and decreased the costs of commercially available LRS technologies. This has resolved many historical concerns about the use of LRS in the clinical environment and opened the door to widespread clinical adoption of LRS. Here, we review LRS technology, how it has been used in the research setting to clarify complex variants or identify disease-causing variation missed by prior clinical testing, and how it may be used clinically in the near future. SUMMARY LRS is unique in that, as a single data source, it has the potential to replace nearly every other clinical genetic test offered today. When analyzed in a stepwise fashion, LRS will simplify laboratory processes, reduce barriers to comprehensive genetic testing, increase the rate of genetic diagnoses, and shorten the amount of time required to make a molecular diagnosis.
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Affiliation(s)
- Nikhita Damaraju
- Institute for Public Health Genetics, University of Washington, Seattle, WA 98195, United States
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA 98195, United States
| | - Angela L Miller
- Department of Pediatrics, University of Washington, Seattle, WA 98195, United States
| | - Danny E Miller
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA 98195, United States
- Department of Pediatrics, University of Washington, Seattle, WA 98195, United States
- Brotman Baty Institute for Precision Medicine, University of Washington, Seattle, WA 98195, United States
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32
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Kumar M, Tyagi N, Faruq M. The molecular mechanisms of spinocerebellar ataxias for DNA repeat expansion in disease. Emerg Top Life Sci 2023; 7:289-312. [PMID: 37668011 DOI: 10.1042/etls20230013] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2023] [Revised: 08/01/2023] [Accepted: 08/16/2023] [Indexed: 09/06/2023]
Abstract
Spinocerebellar ataxias (SCAs) are a heterogenous group of neurodegenerative disorders which commonly inherited in an autosomal dominant manner. They cause muscle incoordination due to degeneration of the cerebellum and other parts of nervous system. Out of all the characterized (>50) SCAs, 14 SCAs are caused due to microsatellite repeat expansion mutations. Repeat expansions can result in toxic protein gain-of-function, protein loss-of-function, and/or RNA gain-of-function effects. The location and the nature of mutation modulate the underlying disease pathophysiology resulting in varying disease manifestations. Potential toxic effects of these mutations likely affect key major cellular processes such as transcriptional regulation, mitochondrial functioning, ion channel dysfunction and synaptic transmission. Involvement of several common pathways suggests interlinked function of genes implicated in the disease pathogenesis. A better understanding of the shared and distinct molecular pathogenic mechanisms in these diseases is required to develop targeted therapeutic tools and interventions for disease management. The prime focus of this review is to elaborate on how expanded 'CAG' repeats contribute to the common modes of neurotoxicity and their possible therapeutic targets in management of such devastating disorders.
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Affiliation(s)
- Manish Kumar
- CSIR-Institute of Genomics and Integrative Biology, Mall Road, Delhi 110007, India
| | - Nishu Tyagi
- CSIR-Institute of Genomics and Integrative Biology, Mall Road, Delhi 110007, India
| | - Mohammed Faruq
- CSIR-Institute of Genomics and Integrative Biology, Mall Road, Delhi 110007, India
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33
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Read JL, Davies KC, Thompson GC, Delatycki MB, Lockhart PJ. Challenges facing repeat expansion identification, characterisation, and the pathway to discovery. Emerg Top Life Sci 2023; 7:339-348. [PMID: 37888797 PMCID: PMC10754332 DOI: 10.1042/etls20230019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Revised: 10/06/2023] [Accepted: 10/12/2023] [Indexed: 10/28/2023]
Abstract
Tandem repeat DNA sequences constitute a significant proportion of the human genome. While previously considered to be functionally inert, these sequences are now broadly accepted as important contributors to genetic diversity. However, the polymorphic nature of these sequences can lead to expansion beyond a gene-specific threshold, causing disease. More than 50 pathogenic repeat expansions have been identified to date, many of which have been discovered in the last decade as a result of advances in sequencing technologies and associated bioinformatic tools. Commonly utilised diagnostic platforms including Sanger sequencing, capillary array electrophoresis, and Southern blot are generally low throughput and are often unable to accurately determine repeat size, composition, and epigenetic signature, which are important when characterising repeat expansions. The rapid advances in bioinformatic tools designed specifically to interrogate short-read sequencing and the development of long-read single molecule sequencing is enabling a new generation of high throughput testing for repeat expansion disorders. In this review, we discuss some of the challenges surrounding the identification and characterisation of disease-causing repeat expansions and the technological advances that are poised to translate the promise of genomic medicine to individuals and families affected by these disorders.
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Affiliation(s)
- Justin L Read
- Bruce Lefroy Centre, Murdoch Children's Research Institute, Parkville, Victoria, Australia
- Department of Paediatrics, University of Melbourne, Royal Children's Hospital, Parkville, Victoria, Australia
| | - Kayli C Davies
- Bruce Lefroy Centre, Murdoch Children's Research Institute, Parkville, Victoria, Australia
- Department of Paediatrics, University of Melbourne, Royal Children's Hospital, Parkville, Victoria, Australia
| | - Genevieve C Thompson
- Bruce Lefroy Centre, Murdoch Children's Research Institute, Parkville, Victoria, Australia
- Department of Paediatrics, University of Melbourne, Royal Children's Hospital, Parkville, Victoria, Australia
| | - Martin B Delatycki
- Bruce Lefroy Centre, Murdoch Children's Research Institute, Parkville, Victoria, Australia
- Department of Paediatrics, University of Melbourne, Royal Children's Hospital, Parkville, Victoria, Australia
- Victorian Clinical Genetics Services, Parkville, Victoria, Australia
| | - Paul J Lockhart
- Bruce Lefroy Centre, Murdoch Children's Research Institute, Parkville, Victoria, Australia
- Department of Paediatrics, University of Melbourne, Royal Children's Hospital, Parkville, Victoria, Australia
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Hannan AJ. Expanding horizons of tandem repeats in biology and medicine: Why 'genomic dark matter' matters. Emerg Top Life Sci 2023; 7:ETLS20230075. [PMID: 38088823 PMCID: PMC10754335 DOI: 10.1042/etls20230075] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2023] [Revised: 11/27/2023] [Accepted: 11/27/2023] [Indexed: 12/30/2023]
Abstract
Approximately half of the human genome includes repetitive sequences, and these DNA sequences (as well as their transcribed repetitive RNA and translated amino-acid repeat sequences) are known as the repeatome. Within this repeatome there are a couple of million tandem repeats, dispersed throughout the genome. These tandem repeats have been estimated to constitute ∼8% of the entire human genome. These tandem repeats can be located throughout exons, introns and intergenic regions, thus potentially affecting the structure and function of tandemly repetitive DNA, RNA and protein sequences. Over more than three decades, more than 60 monogenic human disorders have been found to be caused by tandem-repeat mutations. These monogenic tandem-repeat disorders include Huntington's disease, a variety of ataxias, amyotrophic lateral sclerosis and frontotemporal dementia, as well as many other neurodegenerative diseases. Furthermore, tandem-repeat disorders can include fragile X syndrome, related fragile X disorders, as well as other neurological and psychiatric disorders. However, these monogenic tandem-repeat disorders, which were discovered via their dominant or recessive modes of inheritance, may represent the 'tip of the iceberg' with respect to tandem-repeat contributions to human disorders. A previous proposal that tandem repeats may contribute to the 'missing heritability' of various common polygenic human disorders has recently been supported by a variety of new evidence. This includes genome-wide studies that associate tandem-repeat mutations with autism, schizophrenia, Parkinson's disease and various types of cancers. In this article, I will discuss how tandem-repeat mutations and polymorphisms could contribute to a wide range of common disorders, along with some of the many major challenges of tandem-repeat biology and medicine. Finally, I will discuss the potential of tandem repeats to be therapeutically targeted, so as to prevent and treat an expanding range of human disorders.
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Affiliation(s)
- Anthony J Hannan
- Florey Institute of Neuroscience and Mental Health, University of Melbourne, Parkville, Victoria 3010, Australia
- Department of Anatomy and Physiology, University of Melbourne, Parkville, Victoria 3010, Australia
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35
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Reis ALM, Rapadas M, Hammond JM, Gamaarachchi H, Stevanovski I, Ayuputeri Kumaheri M, Chintalaphani SR, Dissanayake DSB, Siggs OM, Hewitt AW, Llamas B, Brown A, Baynam G, Mann GJ, McMorran BJ, Easteal S, Hermes A, Jenkins MR, Patel HR, Deveson IW. The landscape of genomic structural variation in Indigenous Australians. Nature 2023; 624:602-610. [PMID: 38093003 PMCID: PMC10733147 DOI: 10.1038/s41586-023-06842-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2023] [Accepted: 11/07/2023] [Indexed: 12/20/2023]
Abstract
Indigenous Australians harbour rich and unique genomic diversity. However, Aboriginal and Torres Strait Islander ancestries are historically under-represented in genomics research and almost completely missing from reference datasets1-3. Addressing this representation gap is critical, both to advance our understanding of global human genomic diversity and as a prerequisite for ensuring equitable outcomes in genomic medicine. Here we apply population-scale whole-genome long-read sequencing4 to profile genomic structural variation across four remote Indigenous communities. We uncover an abundance of large insertion-deletion variants (20-49 bp; n = 136,797), structural variants (50 b-50 kb; n = 159,912) and regions of variable copy number (>50 kb; n = 156). The majority of variants are composed of tandem repeat or interspersed mobile element sequences (up to 90%) and have not been previously annotated (up to 62%). A large fraction of structural variants appear to be exclusive to Indigenous Australians (12% lower-bound estimate) and most of these are found in only a single community, underscoring the need for broad and deep sampling to achieve a comprehensive catalogue of genomic structural variation across the Australian continent. Finally, we explore short tandem repeats throughout the genome to characterize allelic diversity at 50 known disease loci5, uncover hundreds of novel repeat expansion sites within protein-coding genes, and identify unique patterns of diversity and constraint among short tandem repeat sequences. Our study sheds new light on the dimensions and dynamics of genomic structural variation within and beyond Australia.
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Affiliation(s)
- Andre L M Reis
- Genomics and Inherited Disease Program, Garvan Institute of Medical Research, Sydney, New South Wales, Australia
- Centre for Population Genomics, Garvan Institute of Medical Research and Murdoch Children's Research Institute, Darlinghurst, New South Wales, Australia
- Faculty of Medicine, University of New South Wales, Sydney, New South Wales, Australia
| | - Melissa Rapadas
- Genomics and Inherited Disease Program, Garvan Institute of Medical Research, Sydney, New South Wales, Australia
- Centre for Population Genomics, Garvan Institute of Medical Research and Murdoch Children's Research Institute, Darlinghurst, New South Wales, Australia
| | - Jillian M Hammond
- Genomics and Inherited Disease Program, Garvan Institute of Medical Research, Sydney, New South Wales, Australia
- Centre for Population Genomics, Garvan Institute of Medical Research and Murdoch Children's Research Institute, Darlinghurst, New South Wales, Australia
| | - Hasindu Gamaarachchi
- Genomics and Inherited Disease Program, Garvan Institute of Medical Research, Sydney, New South Wales, Australia
- Centre for Population Genomics, Garvan Institute of Medical Research and Murdoch Children's Research Institute, Darlinghurst, New South Wales, Australia
- School of Computer Science and Engineering, University of New South Wales, Sydney, New South Wales, Australia
| | - Igor Stevanovski
- Genomics and Inherited Disease Program, Garvan Institute of Medical Research, Sydney, New South Wales, Australia
- Centre for Population Genomics, Garvan Institute of Medical Research and Murdoch Children's Research Institute, Darlinghurst, New South Wales, Australia
| | - Meutia Ayuputeri Kumaheri
- Genomics and Inherited Disease Program, Garvan Institute of Medical Research, Sydney, New South Wales, Australia
- Centre for Population Genomics, Garvan Institute of Medical Research and Murdoch Children's Research Institute, Darlinghurst, New South Wales, Australia
| | - Sanjog R Chintalaphani
- Genomics and Inherited Disease Program, Garvan Institute of Medical Research, Sydney, New South Wales, Australia
- Centre for Population Genomics, Garvan Institute of Medical Research and Murdoch Children's Research Institute, Darlinghurst, New South Wales, Australia
- Faculty of Medicine, University of New South Wales, Sydney, New South Wales, Australia
| | - Duminda S B Dissanayake
- National Centre for Indigenous Genomics, John Curtin School of Medical Research, Australian National University, Canberra, Australian Capital Territory, Australia
- Institute for Applied Ecology, University of Canberra, Canberra, Australian Capital Territory, Australia
| | - Owen M Siggs
- Genomics and Inherited Disease Program, Garvan Institute of Medical Research, Sydney, New South Wales, Australia
- Centre for Population Genomics, Garvan Institute of Medical Research and Murdoch Children's Research Institute, Darlinghurst, New South Wales, Australia
- Department of Ophthalmology, Flinders University, Bedford Park, South Australia, Australia
| | - Alex W Hewitt
- Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia
| | - Bastien Llamas
- National Centre for Indigenous Genomics, John Curtin School of Medical Research, Australian National University, Canberra, Australian Capital Territory, Australia
- Australian Centre for Ancient DNA, School of Biological Sciences and Environment Institute, University of Adelaide, Adelaide, South Australia, Australia
- ARC Centre of Excellence for Australian Biodiversity and Heritage, University of Adelaide, Adelaide, South Australia, Australia
- Indigenous Genomics, Telethon Kids Institute, Adelaide, South Australia, Australia
| | - Alex Brown
- National Centre for Indigenous Genomics, John Curtin School of Medical Research, Australian National University, Canberra, Australian Capital Territory, Australia
- Indigenous Genomics, Telethon Kids Institute, Adelaide, South Australia, Australia
| | - Gareth Baynam
- Telethon Kids Institute and Division of Paediatrics, Faculty of Health and Medical Sciences, University of Western Australia, Perth, Western Australia, Australia
- Genetic Services of Western Australia, Western Australian Department of Health, Perth, Western Australia, Australia
- Western Australian Register of Developmental Anomalies, Western Australian Department of Health, Perth, Western Australia, Australia
| | - Graham J Mann
- National Centre for Indigenous Genomics, John Curtin School of Medical Research, Australian National University, Canberra, Australian Capital Territory, Australia
| | - Brendan J McMorran
- National Centre for Indigenous Genomics, John Curtin School of Medical Research, Australian National University, Canberra, Australian Capital Territory, Australia
| | - Simon Easteal
- National Centre for Indigenous Genomics, John Curtin School of Medical Research, Australian National University, Canberra, Australian Capital Territory, Australia
| | - Azure Hermes
- National Centre for Indigenous Genomics, John Curtin School of Medical Research, Australian National University, Canberra, Australian Capital Territory, Australia
| | - Misty R Jenkins
- Immunology Division, The Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria, Australia
| | - Hardip R Patel
- National Centre for Indigenous Genomics, John Curtin School of Medical Research, Australian National University, Canberra, Australian Capital Territory, Australia.
| | - Ira W Deveson
- Genomics and Inherited Disease Program, Garvan Institute of Medical Research, Sydney, New South Wales, Australia.
- Centre for Population Genomics, Garvan Institute of Medical Research and Murdoch Children's Research Institute, Darlinghurst, New South Wales, Australia.
- Faculty of Medicine, University of New South Wales, Sydney, New South Wales, Australia.
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36
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Dominik N, Magri S, Currò R, Abati E, Facchini S, Corbetta M, Macpherson H, Di Bella D, Sarto E, Stevanovski I, Chintalaphani SR, Akcimen F, Manini A, Vegezzi E, Quartesan I, Montgomery KA, Pirota V, Crespan E, Perini C, Grupelli GP, Tomaselli PJ, Marques W, Shaw J, Polke J, Salsano E, Fenu S, Pareyson D, Pisciotta C, Tofaris GK, Nemeth AH, Ealing J, Radunovic A, Kearney S, Kumar KR, Vucic S, Kennerson M, Reilly MM, Houlden H, Deveson I, Tucci A, Taroni F, Cortese A. Normal and pathogenic variation of RFC1 repeat expansions: implications for clinical diagnosis. Brain 2023; 146:5060-5069. [PMID: 37450567 PMCID: PMC10689911 DOI: 10.1093/brain/awad240] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2023] [Revised: 06/11/2023] [Accepted: 06/25/2023] [Indexed: 07/18/2023] Open
Abstract
Cerebellar ataxia, neuropathy and vestibular areflexia syndrome (CANVAS) is an autosomal recessive neurodegenerative disease, usually caused by biallelic AAGGG repeat expansions in RFC1. In this study, we leveraged whole genome sequencing data from nearly 10 000 individuals recruited within the Genomics England sequencing project to investigate the normal and pathogenic variation of the RFC1 repeat. We identified three novel repeat motifs, AGGGC (n = 6 from five families), AAGGC (n = 2 from one family) and AGAGG (n = 1), associated with CANVAS in the homozygous or compound heterozygous state with the common pathogenic AAGGG expansion. While AAAAG, AAAGGG and AAGAG expansions appear to be benign, we revealed a pathogenic role for large AAAGG repeat configuration expansions (n = 5). Long-read sequencing was used to characterize the entire repeat sequence, and six patients exhibited a pure AGGGC expansion, while the other patients presented complex motifs with AAGGG or AAAGG interruptions. All pathogenic motifs appeared to have arisen from a common haplotype and were predicted to form highly stable G quadruplexes, which have previously been demonstrated to affect gene transcription in other conditions. The assessment of these novel configurations is warranted in CANVAS patients with negative or inconclusive genetic testing. Particular attention should be paid to carriers of compound AAGGG/AAAGG expansions when the AAAGG motif is very large (>500 repeats) or the AAGGG motif is interrupted. Accurate sizing and full sequencing of the satellite repeat with long-read sequencing is recommended in clinically selected cases to enable accurate molecular diagnosis and counsel patients and their families.
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Affiliation(s)
- Natalia Dominik
- Department of Neuromuscular Diseases, University College
London, London WC1N 3BG, UK
| | - Stefania Magri
- Unit of Medical Genetics and Neurogenetics, Fondazione IRCCS Istituto
Neurologico Carlo Besta, Milan 20133, Italy
| | - Riccardo Currò
- Department of Neuromuscular Diseases, University College
London, London WC1N 3BG, UK
- Department of Brain and Behavioral Sciences, University of
Pavia, Pavia 27100, Italy
| | - Elena Abati
- Department of Neuromuscular Diseases, University College
London, London WC1N 3BG, UK
- Department of Pathophysiology and Transplantation, University of
Milan, Milan 20122, Italy
| | - Stefano Facchini
- Department of Neuromuscular Diseases, University College
London, London WC1N 3BG, UK
- IRCCS Mondino Foundation, Pavia 27100,
Italy
| | - Marinella Corbetta
- Unit of Medical Genetics and Neurogenetics, Fondazione IRCCS Istituto
Neurologico Carlo Besta, Milan 20133, Italy
| | - Hannah Macpherson
- Department of Neuromuscular Diseases, University College
London, London WC1N 3BG, UK
| | - Daniela Di Bella
- Unit of Medical Genetics and Neurogenetics, Fondazione IRCCS Istituto
Neurologico Carlo Besta, Milan 20133, Italy
| | - Elisa Sarto
- Unit of Medical Genetics and Neurogenetics, Fondazione IRCCS Istituto
Neurologico Carlo Besta, Milan 20133, Italy
| | - Igor Stevanovski
- Genomics Pillar, Garvan Institute of Medical Research,
Sydney 2010, Australia
- Centre for Population Genomics, Garvan Institute of Medical Research and
Murdoch Children’s Research Institute, Darlinghurst
2010, Australia
| | - Sanjog R Chintalaphani
- Centre for Population Genomics, Garvan Institute of Medical Research and
Murdoch Children’s Research Institute, Darlinghurst
2010, Australia
| | - Fulya Akcimen
- Laboratory of Neurogenetics, National Institute on Aging, National
Institutes of Health, Bethesda, MD 2292, USA
| | - Arianna Manini
- Department of Neuromuscular Diseases, University College
London, London WC1N 3BG, UK
- Department of Pathophysiology and Transplantation, University of
Milan, Milan 20122, Italy
- Department of Neurology and Laboratory of Neuroscience, IRCCS Istituto
Auxologico Italiano, Milan 20145, Italy
| | | | - Ilaria Quartesan
- Department of Brain and Behavioral Sciences, University of
Pavia, Pavia 27100, Italy
| | - Kylie-Ann Montgomery
- Department of Neuromuscular Diseases, University College
London, London WC1N 3BG, UK
| | - Valentina Pirota
- Department of Chemistry, University of Pavia,
Pavia 27100, Italy
- G4-INTERACT, USERN, 27100 Pavia,
Italy
| | - Emmanuele Crespan
- Institute of Molecular Genetics IGM-CNR ‘Luigi Luca
Cavalli-Sforza’, Pavia 27100, Italy
| | - Cecilia Perini
- Institute of Molecular Genetics IGM-CNR ‘Luigi Luca
Cavalli-Sforza’, Pavia 27100, Italy
| | - Glenda Paola Grupelli
- Institute of Molecular Genetics IGM-CNR ‘Luigi Luca
Cavalli-Sforza’, Pavia 27100, Italy
| | - Pedro J Tomaselli
- Department of Neurology, School of Medicine of Ribeirão Preto, University
of São Paulo, Ribeirão Preto 2650, Brazil
| | - Wilson Marques
- Department of Neurology, School of Medicine of Ribeirão Preto, University
of São Paulo, Ribeirão Preto 2650, Brazil
| | - Joseph Shaw
- Department of Neuromuscular Diseases, University College
London, London WC1N 3BG, UK
| | - James Polke
- Department of Neuromuscular Diseases, University College
London, London WC1N 3BG, UK
| | - Ettore Salsano
- Clinic of Central and Peripheral Degenerative Neuropathies Unit, IRCCS
Foundation, C. Besta Neurological Institute, Milan
20126, Italy
| | - Silvia Fenu
- Clinic of Central and Peripheral Degenerative Neuropathies Unit, IRCCS
Foundation, C. Besta Neurological Institute, Milan
20126, Italy
| | - Davide Pareyson
- Clinic of Central and Peripheral Degenerative Neuropathies Unit, IRCCS
Foundation, C. Besta Neurological Institute, Milan
20126, Italy
| | - Chiara Pisciotta
- Clinic of Central and Peripheral Degenerative Neuropathies Unit, IRCCS
Foundation, C. Besta Neurological Institute, Milan
20126, Italy
| | - George K Tofaris
- Nuffield Department of Clinical Neurosciences, University of
Oxford, Oxford OX3 9DU, UK
| | - Andrea H Nemeth
- Nuffield Department of Clinical Neurosciences, University of
Oxford, Oxford OX3 9DU, UK
- Oxford Centre for Genomic Medicine, Oxford University Hospitals NHS
Foundation Trust, Oxford OX3 7HE, UK
| | - John Ealing
- Salford Royal NHS Foundation Trust Greater Manchester Neuroscience Centre,
Manchester Centre for Clinical Neurosciences Salford, Greater
Manchester M6 8HD, UK
| | | | - Seamus Kearney
- Department of Neurology, Royal Victoria Hospital,
Belfast BT12 6BA, UK
| | - Kishore R Kumar
- Kinghorn Centre for Clinical Genomics, Garvan Institute of Medical
Research, Darlinghurst, NSW 2010, Australia
- Molecular Medicine Laboratory, Concord Hospital,
Concord, NSW 2139, Australia
- Concord Clinical School, Faculty of Medicine and Health, University of
Sydney, Sydney, NSW 2139, Australia
| | - Steve Vucic
- Concord Clinical School, Faculty of Medicine and Health, University of
Sydney, Sydney, NSW 2139, Australia
- Brain and Nerve Research Centre, Concord Hospital,
Sydney, NSW 2139, Australia
| | - Marina Kennerson
- Molecular Medicine Laboratory, Concord Hospital,
Concord, NSW 2139, Australia
- Northcott Neuroscience Laboratory, ANZAC Research Institute
SLHD, Sydney, NSW 2050, Australia
- School of Medical Sciences, Faculty of Medicine and Health, University of
Sydney, Sydney, NSW 2050, Australia
| | - Mary M Reilly
- Department of Neuromuscular Diseases, University College
London, London WC1N 3BG, UK
| | - Henry Houlden
- Department of Neuromuscular Diseases, University College
London, London WC1N 3BG, UK
| | - Ira Deveson
- Genomics Pillar, Garvan Institute of Medical Research,
Sydney 2010, Australia
| | - Arianna Tucci
- Department of Neuromuscular Diseases, University College
London, London WC1N 3BG, UK
| | - Franco Taroni
- Unit of Medical Genetics and Neurogenetics, Fondazione IRCCS Istituto
Neurologico Carlo Besta, Milan 20133, Italy
| | - Andrea Cortese
- Department of Neuromuscular Diseases, University College
London, London WC1N 3BG, UK
- Department of Brain and Behavioral Sciences, University of
Pavia, Pavia 27100, Italy
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37
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Wu Y, Song T, Xu Q. R-LOOPs on Short Tandem Repeat Expansion Disorders in Neurodegenerative Diseases. Mol Neurobiol 2023; 60:7185-7195. [PMID: 37540313 DOI: 10.1007/s12035-023-03531-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2023] [Accepted: 07/24/2023] [Indexed: 08/05/2023]
Abstract
Expansions of short tandem repeats (STRs) have been found to be present in more than 50 diseases and have a close connection with neurodegenerative diseases. Transcriptional silencing and R-LOOP formation, RNA-mediated sequestration of RNA-binding proteins (RBPs), gain-of-function (GOF) proteins containing expanded repeats, and repeat-associated non-AUG (RAN) translation of toxic repeat peptides are some potential molecular mechanisms underlying STR expansion disorders. R-LOOP, a byproduct of transcription, is a three-stranded nucleic acid structure with abnormal accumulation that participates in the pathogenesis of STR expansion disorders by inducing DNA damage and genome instability. R-LOOPs can engender a series of DNA damage, such as DNA double-strand breaks (DSBs), single-strand breaks (SSBs), DNA recombination, or mutations in the DNA replication, transcription, or repair processes. In this review, we provide an in-depth discussion of recent advancements in R-LOOP and systematically elaborate on its genetic destabilizing effects in several neurodegenerative diseases. These molecular mechanisms will provide novel targets for drug design and therapeutic upgrading of these devastating diseases.
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Affiliation(s)
- Yiting Wu
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
| | - Tingwei Song
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China
| | - Qian Xu
- Department of Neurology, Xiangya Hospital, Central South University, Changsha, China.
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Changsha, China.
- Key Laboratory of Hunan Province in Neurodegenerative Disorders, Central South University, Changsha, China.
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38
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Deserranno K, Tilleman L, Rubben K, Deforce D, Van Nieuwerburgh F. Targeted haplotyping in pharmacogenomics using Oxford Nanopore Technologies' adaptive sampling. Front Pharmacol 2023; 14:1286764. [PMID: 38026945 PMCID: PMC10679755 DOI: 10.3389/fphar.2023.1286764] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2023] [Accepted: 10/30/2023] [Indexed: 12/01/2023] Open
Abstract
Pharmacogenomics (PGx) studies the impact of interindividual genomic variation on drug response, allowing the opportunity to tailor the dosing regimen for each patient. Current targeted PGx testing platforms are mainly based on microarray, polymerase chain reaction, or short-read sequencing. Despite demonstrating great value for the identification of single nucleotide variants (SNVs) and insertion/deletions (INDELs), these assays do not permit identification of large structural variants, nor do they allow unambiguous haplotype phasing for star-allele assignment. Here, we used Oxford Nanopore Technologies' adaptive sampling to enrich a panel of 1,036 genes with well-documented PGx relevance extracted from the Pharmacogenomics Knowledge Base (PharmGKB). By evaluating concordance with existing truth sets, we demonstrate accurate variant and star-allele calling for five Genome in a Bottle reference samples. We show that up to three samples can be multiplexed on one PromethION flow cell without a significant drop in variant calling performance, resulting in 99.35% and 99.84% recall and precision for the targeted variants, respectively. This work advances the use of nanopore sequencing in clinical PGx settings.
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Affiliation(s)
| | | | | | | | - Filip Van Nieuwerburgh
- Laboratory of Pharmaceutical Biotechnology, Faculty of Pharmaceutical Sciences, Ghent University, Ghent, Belgium
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39
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English A, Dolzhenko E, Jam HZ, Mckenzie S, Olson ND, De Coster W, Park J, Gu B, Wagner J, Eberle MA, Gymrek M, Chaisson MJP, Zook JM, Sedlazeck FJ. Benchmarking of small and large variants across tandem repeats. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.10.29.564632. [PMID: 37961319 PMCID: PMC10634962 DOI: 10.1101/2023.10.29.564632] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/15/2023]
Abstract
Tandem repeats (TRs) are highly polymorphic in the human genome, have thousands of associated molecular traits, and are linked to over 60 disease phenotypes. However, their complexity often excludes them from at-scale studies due to challenges with variant calling, representation, and lack of a genome-wide standard. To promote TR methods development, we create a comprehensive catalog of TR regions and explore its properties across 86 samples. We then curate variants from the GIAB HG002 individual to create a tandem repeat benchmark. We also present a variant comparison method that handles small and large alleles and varying allelic representation. The 8.1% of the genome covered by the TR catalog holds ∼24.9% of variants per individual, including 124,728 small and 17,988 large variants for the GIAB HG002 TR benchmark. We work with the GIAB community to demonstrate the utility of this benchmark across short and long read technologies.
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40
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Ichikawa K, Kawahara R, Asano T, Morishita S. A landscape of complex tandem repeats within individual human genomes. Nat Commun 2023; 14:5530. [PMID: 37709751 PMCID: PMC10502081 DOI: 10.1038/s41467-023-41262-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2022] [Accepted: 08/28/2023] [Indexed: 09/16/2023] Open
Abstract
Markedly expanded tandem repeats (TRs) have been correlated with ~60 diseases. TR diversity has been considered a clue toward understanding missing heritability. However, haplotype-resolved long TRs remain mostly hidden or blacked out because their complex structures (TRs composed of various units and minisatellites containing >10-bp units) make them difficult to determine accurately with existing methods. Here, using a high-precision algorithm to determine complex TR structures from long, accurate reads of PacBio HiFi, an investigation of 270 Japanese control samples yields several genome-wide findings. Approximately 322,000 TRs are difficult to impute from the surrounding single-nucleotide variants. Greater genetic divergence of TR loci is significantly correlated with more events of younger replication slippage. Complex TRs are more abundant than single-unit TRs, and a tendency for complex TRs to consist of <10-bp units and single-unit TRs to be minisatellites is statistically significant at loci with ≥500-bp TRs. Of note, 8909 loci with extended TRs (>100b longer than the mode) contain several known disease-associated TRs and are considered candidates for association with disorders. Overall, complex TRs and minisatellites are found to be abundant and diverse, even in genetically small Japanese populations, yielding insights into the landscape of long TRs.
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Affiliation(s)
- Kazuki Ichikawa
- Department of Computational Biology and Medical Sciences, The University of Tokyo, 277-8561, Chiba, Japan
| | - Riki Kawahara
- Department of Computational Biology and Medical Sciences, The University of Tokyo, 277-8561, Chiba, Japan
| | - Takeshi Asano
- Department of Computational Biology and Medical Sciences, The University of Tokyo, 277-8561, Chiba, Japan
| | - Shinichi Morishita
- Department of Computational Biology and Medical Sciences, The University of Tokyo, 277-8561, Chiba, Japan.
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41
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Oehler JB, Wright H, Stark Z, Mallett AJ, Schmitz U. The application of long-read sequencing in clinical settings. Hum Genomics 2023; 17:73. [PMID: 37553611 PMCID: PMC10410870 DOI: 10.1186/s40246-023-00522-3] [Citation(s) in RCA: 18] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2023] [Accepted: 08/01/2023] [Indexed: 08/10/2023] Open
Abstract
Long-read DNA sequencing technologies have been rapidly evolving in recent years, and their ability to assess large and complex regions of the genome makes them ideal for clinical applications in molecular diagnosis and therapy selection, thereby providing a valuable tool for precision medicine. In the third-generation sequencing duopoly, Oxford Nanopore Technologies and Pacific Biosciences work towards increasing the accuracy, throughput, and portability of long-read sequencing methods while trying to keep costs low. These trades have made long-read sequencing an attractive tool for use in research and clinical settings. This article provides an overview of current clinical applications and limitations of long-read sequencing and explores its potential for point-of-care testing and health care in remote settings.
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Affiliation(s)
- Josephine B Oehler
- Biomedical Sciences and Molecular Biology, College of Public Health, Medical & Vet Sciences, James Cook University, Townsville, Australia
- College of Medicine and Dentistry, James Cook University, Townsville, Australia
| | - Helen Wright
- Nursing and Midwifery, College of Healthcare Sciences, James Cook University, Townsville, Australia
| | - Zornitza Stark
- Victorian Clinical Genetics Services, Murdoch Children's Research Institute, Melbourne, Australia
- University of Melbourne, Melbourne, Australia
- Australian Genomics, Melbourne, Australia
| | - Andrew J Mallett
- College of Medicine and Dentistry, James Cook University, Townsville, Australia
- Department of Renal Medicine, Townsville University Hospital, Townsville, Australia
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, Australia
- Faculty of Medicine, The University of Queensland, Brisbane, Australia
| | - Ulf Schmitz
- Biomedical Sciences and Molecular Biology, College of Public Health, Medical & Vet Sciences, James Cook University, Townsville, Australia.
- Centre for Tropical Bioinformatics and Molecular Biology, Australian Institute of Tropical Health and Medicine, James Cook University, Cairns, Australia.
- Computational BioMedicine Lab Centenary Institute, The University of Sydney, Camperdown, Australia.
- Faculty of Medicine & Health, The University of Sydney, Camperdown, Australia.
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42
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Wojcik MH, Reuter CM, Marwaha S, Mahmoud M, Duyzend MH, Barseghyan H, Yuan B, Boone PM, Groopman EE, Délot EC, Jain D, Sanchis-Juan A, Starita LM, Talkowski M, Montgomery SB, Bamshad MJ, Chong JX, Wheeler MT, Berger SI, O'Donnell-Luria A, Sedlazeck FJ, Miller DE. Beyond the exome: What's next in diagnostic testing for Mendelian conditions. Am J Hum Genet 2023; 110:1229-1248. [PMID: 37541186 PMCID: PMC10432150 DOI: 10.1016/j.ajhg.2023.06.009] [Citation(s) in RCA: 18] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2023] [Revised: 06/13/2023] [Accepted: 06/14/2023] [Indexed: 08/06/2023] Open
Abstract
Despite advances in clinical genetic testing, including the introduction of exome sequencing (ES), more than 50% of individuals with a suspected Mendelian condition lack a precise molecular diagnosis. Clinical evaluation is increasingly undertaken by specialists outside of clinical genetics, often occurring in a tiered fashion and typically ending after ES. The current diagnostic rate reflects multiple factors, including technical limitations, incomplete understanding of variant pathogenicity, missing genotype-phenotype associations, complex gene-environment interactions, and reporting differences between clinical labs. Maintaining a clear understanding of the rapidly evolving landscape of diagnostic tests beyond ES, and their limitations, presents a challenge for non-genetics professionals. Newer tests, such as short-read genome or RNA sequencing, can be challenging to order, and emerging technologies, such as optical genome mapping and long-read DNA sequencing, are not available clinically. Furthermore, there is no clear guidance on the next best steps after inconclusive evaluation. Here, we review why a clinical genetic evaluation may be negative, discuss questions to be asked in this setting, and provide a framework for further investigation, including the advantages and disadvantages of new approaches that are nascent in the clinical sphere. We present a guide for the next best steps after inconclusive molecular testing based upon phenotype and prior evaluation, including when to consider referral to research consortia focused on elucidating the underlying cause of rare unsolved genetic disorders.
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Affiliation(s)
- Monica H Wojcik
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Division of Genetics and Genomics, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA; Division of Newborn Medicine, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
| | - Chloe M Reuter
- Department of Medicine, Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Shruti Marwaha
- Department of Medicine, Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Medhat Mahmoud
- Human Genome Sequencing Center, Baylor College of Medicine, One Baylor Plaza, Houston, TX 77030, USA
| | - Michael H Duyzend
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Division of Genetics and Genomics, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA; Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Hayk Barseghyan
- Center for Genetics Medicine Research, Children's National Research Institute, Children's National Hospital, Washington, DC 20010, USA; Department of Genomics and Precision Medicine, School of Medicine and Health Sciences, George Washington University, Washington, DC 20037, USA
| | - Bo Yuan
- Department of Molecular and Human Genetics and Human Genome Sequencing Center, Baylor College of Medicine, One Baylor Plaza, Houston, TX 77030, USA
| | - Philip M Boone
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Division of Genetics and Genomics, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA; Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Emily E Groopman
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Division of Genetics and Genomics, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA; Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Emmanuèle C Délot
- Department of Genomics and Precision Medicine, School of Medicine and Health Sciences, George Washington University, Washington, DC 20037, USA; Center for Genetics Medicine Research, Children's National Research and Innovation Campus, Washington, DC, USA; Department of Pediatrics, George Washington University, School of Medicine and Health Sciences, George Washington University, Washington, DC 20037, USA
| | - Deepti Jain
- Department of Biostatistics, School of Public Health, University of Washington, Seattle, WA 98195, USA
| | - Alba Sanchis-Juan
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Lea M Starita
- Brotman Baty Institute for Precision Medicine, University of Washington, Seattle, WA 98195, USA; Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA
| | - Michael Talkowski
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA 02114, USA; Department of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA; Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Stephen B Montgomery
- Department of Biomedical Data Science, Stanford University School of Medicine, Stanford, CA 94305, USA; Department of Genetics, Stanford University School of Medicine, Stanford, CA 94305, USA; Department of Pathology, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Michael J Bamshad
- Brotman Baty Institute for Precision Medicine, University of Washington, Seattle, WA 98195, USA; Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA; Department of Pediatrics, Division of Genetic Medicine, University of Washington, Seattle, WA 98195, USA
| | - Jessica X Chong
- Brotman Baty Institute for Precision Medicine, University of Washington, Seattle, WA 98195, USA; Department of Pediatrics, Division of Genetic Medicine, University of Washington, Seattle, WA 98195, USA
| | - Matthew T Wheeler
- Department of Medicine, Division of Cardiovascular Medicine, Stanford University School of Medicine, Stanford, CA 94305, USA
| | - Seth I Berger
- Center for Genetics Medicine Research and Rare Disease Institute, Children's National Hospital, Washington, DC 20010, USA
| | - Anne O'Donnell-Luria
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Division of Genetics and Genomics, Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA; Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Fritz J Sedlazeck
- Human Genome Sequencing Center, Baylor College of Medicine, One Baylor Plaza, Houston, TX 77030, USA; Department of Computer Science, Rice University, 6100 Main Street, Houston, TX 77005, USA
| | - Danny E Miller
- Brotman Baty Institute for Precision Medicine, University of Washington, Seattle, WA 98195, USA; Department of Pediatrics, Division of Genetic Medicine, University of Washington, Seattle, WA 98195, USA; Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA 98195, USA.
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Zheng P, Zhou C, Ding Y, Liu B, Lu L, Zhu F, Duan S. Nanopore sequencing technology and its applications. MedComm (Beijing) 2023; 4:e316. [PMID: 37441463 PMCID: PMC10333861 DOI: 10.1002/mco2.316] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2022] [Revised: 05/29/2023] [Accepted: 05/31/2023] [Indexed: 07/15/2023] Open
Abstract
Since the development of Sanger sequencing in 1977, sequencing technology has played a pivotal role in molecular biology research by enabling the interpretation of biological genetic codes. Today, nanopore sequencing is one of the leading third-generation sequencing technologies. With its long reads, portability, and low cost, nanopore sequencing is widely used in various scientific fields including epidemic prevention and control, disease diagnosis, and animal and plant breeding. Despite initial concerns about high error rates, continuous innovation in sequencing platforms and algorithm analysis technology has effectively addressed its accuracy. During the coronavirus disease (COVID-19) pandemic, nanopore sequencing played a critical role in detecting the severe acute respiratory syndrome coronavirus-2 virus genome and containing the pandemic. However, a lack of understanding of this technology may limit its popularization and application. Nanopore sequencing is poised to become the mainstream choice for preventing and controlling COVID-19 and future epidemics while creating value in other fields such as oncology and botany. This work introduces the contributions of nanopore sequencing during the COVID-19 pandemic to promote public understanding and its use in emerging outbreaks worldwide. We discuss its application in microbial detection, cancer genomes, and plant genomes and summarize strategies to improve its accuracy.
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Affiliation(s)
- Peijie Zheng
- Department of Clinical MedicineSchool of MedicineZhejiang University City CollegeHangzhouChina
| | - Chuntao Zhou
- Department of Clinical MedicineSchool of MedicineZhejiang University City CollegeHangzhouChina
| | - Yuemin Ding
- Department of Clinical MedicineSchool of MedicineZhejiang University City CollegeHangzhouChina
- Institute of Translational Medicine, School of MedicineZhejiang University City CollegeHangzhouChina
- Key Laboratory of Novel Targets and Drug Study for Neural Repair of Zhejiang Province, School of MedicineZhejiang University City CollegeHangzhouChina
| | - Bin Liu
- Department of Clinical MedicineSchool of MedicineZhejiang University City CollegeHangzhouChina
| | - Liuyi Lu
- Department of Clinical MedicineSchool of MedicineZhejiang University City CollegeHangzhouChina
| | - Feng Zhu
- Department of Clinical MedicineSchool of MedicineZhejiang University City CollegeHangzhouChina
| | - Shiwei Duan
- Department of Clinical MedicineSchool of MedicineZhejiang University City CollegeHangzhouChina
- Institute of Translational Medicine, School of MedicineZhejiang University City CollegeHangzhouChina
- Key Laboratory of Novel Targets and Drug Study for Neural Repair of Zhejiang Province, School of MedicineZhejiang University City CollegeHangzhouChina
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Scriba CK, Stevanovski I, Chintalaphani SR, Gamaarachchi H, Ghaoui R, Ghia D, Henderson RD, Jordan N, Winkel A, Lamont PJ, Rodrigues MJ, Roxburgh RH, Weisburd B, Laing NG, Deveson IW, Davis MR, Ravenscroft G. RFC1 in an Australasian neurological disease cohort: extending the genetic heterogeneity and implications for diagnostics. Brain Commun 2023; 5:fcad208. [PMID: 37621409 PMCID: PMC10445415 DOI: 10.1093/braincomms/fcad208] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2023] [Revised: 06/04/2023] [Accepted: 07/25/2023] [Indexed: 08/26/2023] Open
Abstract
Cerebellar ataxia, neuropathy and vestibular areflexia syndrome is a progressive, generally late-onset, neurological disorder associated with biallelic pentanucleotide expansions in Intron 2 of the RFC1 gene. The locus exhibits substantial genetic variability, with multiple pathogenic and benign pentanucleotide repeat alleles previously identified. To determine the contribution of pathogenic RFC1 expansions to neurological disease within an Australasian cohort and further investigate the heterogeneity exhibited at the locus, a combination of flanking and repeat-primed PCR was used to screen a cohort of 242 Australasian patients with neurological disease. Patients whose data indicated large gaps within expanded alleles following repeat-primed PCR, underwent targeted long-read sequencing to identify novel repeat motifs at the locus. To increase diagnostic yield, additional probes at the RFC1 repeat region were incorporated into the PathWest diagnostic laboratory targeted neurological disease gene panel to enable first-pass screening of the locus for all samples tested on the panel. Within the Australasian cohort, we detected known pathogenic biallelic expansions in 15.3% (n = 37) of patients. Thirty indicated biallelic AAGGG expansions, two had biallelic 'Māori alleles' [(AAAGG)exp(AAGGG)exp], two samples were compound heterozygous for the Māori allele and an AAGGG expansion, two samples had biallelic ACAGG expansions and one sample was compound heterozygous for the ACAGG and AAGGG expansions. Forty-five samples tested indicated the presence of biallelic expansions not known to be pathogenic. A large proportion (84%) showed complex interrupted patterns following repeat-primed PCR, suggesting that these expansions are likely to be comprised of more than one repeat motif, including previously unknown repeats. Using targeted long-read sequencing, we identified three novel repeat motifs in expanded alleles. Here, we also show that short-read sequencing can be used to reliably screen for the presence or absence of biallelic RFC1 expansions in all samples tested using the PathWest targeted neurological disease gene panel. Our results show that RFC1 pathogenic expansions make a substantial contribution to neurological disease in the Australasian population and further extend the heterogeneity of the locus. To accommodate the increased complexity, we outline a multi-step workflow utilizing both targeted short- and long-read sequencing to achieve a definitive genotype and provide accurate diagnoses for patients.
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Affiliation(s)
- Carolin K Scriba
- Rare Genetic Diseases and Functional Genomics Group, Centre for Medical Research, University of Western Australia, Harry Perkins Institute of Medical Research, QEII Medical Centre, Nedlands, WA 6009, Australia
- Neurogenetics Laboratory, Department of Diagnostic Genomics, PP Block, QEII Medical Centre, Nedlands, WA 6009, Australia
| | - Igor Stevanovski
- Genomics Pillar, Garvan Institute of Medical Research, Sydney, NSW 2010, Australia
- Centre for Population Genomics, Garvan Institute of Medical Research and Murdoch Children’s Research Institute, Sydney, NSW 2010, Australia
| | - Sanjog R Chintalaphani
- Genomics Pillar, Garvan Institute of Medical Research, Sydney, NSW 2010, Australia
- Centre for Population Genomics, Garvan Institute of Medical Research and Murdoch Children’s Research Institute, Sydney, NSW 2010, Australia
- School of Clinical Medicine, Faculty of Medicine and Health, University of New South Wales, Sydney, NSW 2050, Australia
| | - Hasindu Gamaarachchi
- Genomics Pillar, Garvan Institute of Medical Research, Sydney, NSW 2010, Australia
- Centre for Population Genomics, Garvan Institute of Medical Research and Murdoch Children’s Research Institute, Sydney, NSW 2010, Australia
- School of Computer Science and Engineering, University of New South Wales, Sydney, NSW 2052, Australia
| | - Roula Ghaoui
- Department of Neurology, Royal Adelaide Hospital, Adelaide, SA 5000, Australia
- Adelaide Medical School, Faculty of Health and Medical Sciences, University of Adelaide, Adelaide, SA 5000, Australia
| | - Darshan Ghia
- UWA Medical School, University of Western Australia, Perth, WA 6009, Australia
- Neurology and Stroke Unit, Fiona Stanley Hospital, Murdoch, WA 6150, Australia
| | - Robert D Henderson
- Centre for Clinical Research, University of Queensland, Herston, QLD 4006, Australia
| | - Nerissa Jordan
- Department of Neurology, Fiona Stanley Hospital, Perth, WA 6150, Australia
| | - Antony Winkel
- Department of Neurosciences, Griffith University, Sunshine Coast University Hospital, Mount Gravatt, QLD 4111, Australia
| | | | | | - Richard H Roxburgh
- Centre for Brain Research Neurogenetics Research Clinic, University of Auckland, Auckland, New Zealand
| | - Ben Weisburd
- Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Nigel G Laing
- Preventive Genetics Group, Centre for Medical Research, University of Western Australia, Harry Perkins Institute of Medical Research, QEII Medical Centre, Nedlands, WA 6009, Australia
| | - Ira W Deveson
- Genomics Pillar, Garvan Institute of Medical Research, Sydney, NSW 2010, Australia
- Centre for Population Genomics, Garvan Institute of Medical Research and Murdoch Children’s Research Institute, Sydney, NSW 2010, Australia
- School of Clinical Medicine, Faculty of Medicine and Health, University of New South Wales, Sydney, NSW 2050, Australia
| | - Mark R Davis
- Neurogenetics Laboratory, Department of Diagnostic Genomics, PP Block, QEII Medical Centre, Nedlands, WA 6009, Australia
| | - Gianina Ravenscroft
- Rare Genetic Diseases and Functional Genomics Group, Centre for Medical Research, University of Western Australia, Harry Perkins Institute of Medical Research, QEII Medical Centre, Nedlands, WA 6009, Australia
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Greer SU, Botello J, Hongo D, Levy B, Shah P, Rabinowitz M, Miller DE, Im K, Kumar A. Implementation of Nanopore sequencing as a pragmatic workflow for copy number variant confirmation in the clinic. J Transl Med 2023; 21:378. [PMID: 37301971 PMCID: PMC10257846 DOI: 10.1186/s12967-023-04243-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2023] [Accepted: 06/02/2023] [Indexed: 06/12/2023] Open
Abstract
BACKGROUND Diagnosis of rare genetic diseases can be a long, expensive and complex process, involving an array of tests in the hope of obtaining an actionable result. Long-read sequencing platforms offer the opportunity to make definitive molecular diagnoses using a single assay capable of detecting variants, characterizing methylation patterns, resolving complex rearrangements, and assigning findings to long-range haplotypes. Here, we demonstrate the clinical utility of Nanopore long-read sequencing by validating a confirmatory test for copy number variants (CNVs) in neurodevelopmental disorders and illustrate the broader applications of this platform to assess genomic features with significant clinical implications. METHODS We used adaptive sampling on the Oxford Nanopore platform to sequence 25 genomic DNA samples and 5 blood samples collected from patients with known or false-positive copy number changes originally detected using short-read sequencing. Across the 30 samples (a total of 50 with replicates), we assayed 35 known unique CNVs (a total of 55 with replicates) and one false-positive CNV, ranging in size from 40 kb to 155 Mb, and assessed the presence or absence of suspected CNVs using normalized read depth. RESULTS Across 50 samples (including replicates) sequenced on individual MinION flow cells, we achieved an average on-target mean depth of 9.5X and an average on-target read length of 4805 bp. Using a custom read depth-based analysis, we successfully confirmed the presence of all 55 known CNVs (including replicates) and the absence of one false-positive CNV. Using the same CNV-targeted data, we compared genotypes of single nucleotide variant loci to verify that no sample mix-ups occurred between assays. For one case, we also used methylation detection and phasing to investigate the parental origin of a 15q11.2-q13 duplication with implications for clinical prognosis. CONCLUSIONS We present an assay that efficiently targets genomic regions to confirm clinically relevant CNVs with a concordance rate of 100%. Furthermore, we demonstrate how integration of genotype, methylation, and phasing data from the Nanopore sequencing platform can potentially simplify and shorten the diagnostic odyssey.
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Affiliation(s)
| | | | - Donna Hongo
- MyOme Inc., 535 Middlefield Rd Suite 170, Menlo Park, CA, USA
| | - Brynn Levy
- MyOme Inc., 535 Middlefield Rd Suite 170, Menlo Park, CA, USA
- Department of Pathology and Cell Biology, Columbia University Irving Medical Center, New York, NY, USA
| | - Premal Shah
- MyOme Inc., 535 Middlefield Rd Suite 170, Menlo Park, CA, USA
| | - Matthew Rabinowitz
- MyOme Inc., 535 Middlefield Rd Suite 170, Menlo Park, CA, USA
- Natera Inc., San Carlos, CA, USA
| | - Danny E Miller
- Department of Pediatrics, Department of Laboratory Medicine and Pathology, University of Washington, WA, Seattle, USA
| | - Kate Im
- MyOme Inc., 535 Middlefield Rd Suite 170, Menlo Park, CA, USA
| | - Akash Kumar
- MyOme Inc., 535 Middlefield Rd Suite 170, Menlo Park, CA, USA.
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46
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Șoldănescu I, Lobiuc A, Covașă M, Dimian M. Detection of Biological Molecules Using Nanopore Sensing Techniques. Biomedicines 2023; 11:1625. [PMID: 37371721 PMCID: PMC10295350 DOI: 10.3390/biomedicines11061625] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2023] [Revised: 05/28/2023] [Accepted: 05/29/2023] [Indexed: 06/29/2023] Open
Abstract
Modern biomedical sensing techniques have significantly increased in precision and accuracy due to new technologies that enable speed and that can be tailored to be highly specific for markers of a particular disease. Diagnosing early-stage conditions is paramount to treating serious diseases. Usually, in the early stages of the disease, the number of specific biomarkers is very low and sometimes difficult to detect using classical diagnostic methods. Among detection methods, biosensors are currently attracting significant interest in medicine, for advantages such as easy operation, speed, and portability, with additional benefits of low costs and repeated reliable results. Single-molecule sensors such as nanopores that can detect biomolecules at low concentrations have the potential to become clinically relevant. As such, several applications have been introduced in this field for the detection of blood markers, nucleic acids, or proteins. The use of nanopores has yet to reach maturity for standardization as diagnostic techniques, however, they promise enormous potential, as progress is made into stabilizing nanopore structures, enhancing chemistries, and improving data collection and bioinformatic analysis. This review offers a new perspective on current biomolecule sensing techniques, based on various types of nanopores, challenges, and approaches toward implementation in clinical settings.
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Affiliation(s)
- Iuliana Șoldănescu
- Integrated Center for Research, Development and Innovation for Advanced Materials, Nanotechnologies, Manufacturing and Control Distributed Systems (MANSiD), Stefan cel Mare University of Suceava, 720229 Suceava, Romania; (I.Ș.); (M.D.)
| | - Andrei Lobiuc
- Department of Biomedical Sciences, Stefan cel Mare University of Suceava, 720229 Suceava, Romania
| | - Mihai Covașă
- Department of Biomedical Sciences, Stefan cel Mare University of Suceava, 720229 Suceava, Romania
| | - Mihai Dimian
- Integrated Center for Research, Development and Innovation for Advanced Materials, Nanotechnologies, Manufacturing and Control Distributed Systems (MANSiD), Stefan cel Mare University of Suceava, 720229 Suceava, Romania; (I.Ș.); (M.D.)
- Department of Computer, Electronics and Automation, Stefan cel Mare University of Suceava, 720229 Suceava, Romania
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Ciobanu CG, Nucă I, Popescu R, Antoci LM, Caba L, Ivanov AV, Cojocaru KA, Rusu C, Mihai CT, Pânzaru MC. Narrative Review: Update on the Molecular Diagnosis of Fragile X Syndrome. Int J Mol Sci 2023; 24:ijms24119206. [PMID: 37298158 DOI: 10.3390/ijms24119206] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2023] [Revised: 04/30/2023] [Accepted: 05/20/2023] [Indexed: 06/12/2023] Open
Abstract
The diagnosis and management of fragile X syndrome (FXS) have significantly improved in the last three decades, although the current diagnostic techniques are not yet able to precisely identify the number of repeats, methylation status, level of mosaicism, and/or the presence of AGG interruptions. A high number of repeats (>200) in the fragile X messenger ribonucleoprotein 1 gene (FMR1) results in hypermethylation of promoter and gene silencing. The actual molecular diagnosis is performed using a Southern blot, TP-PCR (Triplet-Repeat PCR), MS-PCR (Methylation-Specific PCR), and MS-MLPA (Methylation-Specific MLPA) with some limitations, with multiple assays being necessary to completely characterise a patient with FXS. The actual gold standard diagnosis uses Southern blot; however, it cannot accurately characterise all cases. Optical genome mapping is a new technology that has also been developed to approach the diagnosis of fragile X syndrome. Long-range sequencing represented by PacBio and Oxford Nanopore has the potential to replace the actual diagnosis and offers a complete characterization of molecular profiles in a single test. The new technologies have improved the diagnosis of fragile X syndrome and revealed unknown aberrations, but they are a long way from being used routinely in clinical practice.
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Affiliation(s)
- Cristian-Gabriel Ciobanu
- Medical Genetics Department, Faculty of Medicine, "Grigore T. Popa" University of Medicine and Pharmacy, University Street No 16, 700115 Iasi, Romania
| | - Irina Nucă
- Medical Genetics Department, Faculty of Medicine, "Grigore T. Popa" University of Medicine and Pharmacy, University Street No 16, 700115 Iasi, Romania
- Investigatii Medicale Praxis, St. Moara de Vant No 35, 700376 Iasi, Romania
| | - Roxana Popescu
- Medical Genetics Department, Faculty of Medicine, "Grigore T. Popa" University of Medicine and Pharmacy, University Street No 16, 700115 Iasi, Romania
- Medical Genetics Department, "Saint Mary" Emergency Children's Hospital, St. Vasile Lupu No 62, 700309 Iasi, Romania
| | - Lucian-Mihai Antoci
- Medical Genetics Department, Faculty of Medicine, "Grigore T. Popa" University of Medicine and Pharmacy, University Street No 16, 700115 Iasi, Romania
| | - Lavinia Caba
- Medical Genetics Department, Faculty of Medicine, "Grigore T. Popa" University of Medicine and Pharmacy, University Street No 16, 700115 Iasi, Romania
| | - Anca Viorica Ivanov
- Pediatrics Department, "Grigore T. Popa" University of Medicine and Pharmacy, University Street No 16, 700115 Iasi, Romania
| | - Karina-Alexandra Cojocaru
- Department of Biochemistry, Faculty of Dental Medicine, "Grigore T. Popa" University of Medicine and Pharmacy, University Street No 16, 700115 Iasi, Romania
| | - Cristina Rusu
- Medical Genetics Department, Faculty of Medicine, "Grigore T. Popa" University of Medicine and Pharmacy, University Street No 16, 700115 Iasi, Romania
- Medical Genetics Department, "Saint Mary" Emergency Children's Hospital, St. Vasile Lupu No 62, 700309 Iasi, Romania
| | | | - Monica-Cristina Pânzaru
- Medical Genetics Department, Faculty of Medicine, "Grigore T. Popa" University of Medicine and Pharmacy, University Street No 16, 700115 Iasi, Romania
- Medical Genetics Department, "Saint Mary" Emergency Children's Hospital, St. Vasile Lupu No 62, 700309 Iasi, Romania
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48
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Fellner A, Goldberg Y, Basel-Salmon L. Ordering genetic testing by neurologists: points to consider. J Neurol 2023:10.1007/s00415-023-11758-3. [PMID: 37154893 DOI: 10.1007/s00415-023-11758-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2023] [Revised: 04/28/2023] [Accepted: 04/29/2023] [Indexed: 05/10/2023]
Abstract
A significant challenge limiting the comprehensive utilization of genomic medicine is the lack of timely access to genetics specialists. Although neurologists see patients for whom genetic testing should be considered, the knowledge regarding the choice of the optimal genetic test for each case and the management of the test results are out of the scope of their everyday practice. In this review, we provide a step-by-step guide for non-geneticist physicians through the decision-making process when ordering diagnostic genetic testing for monogenic neurological diseases and when dealing with their results.
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Affiliation(s)
- Avi Fellner
- The Neurogenetics Clinic, Raphael Recanati Genetics Institute, Rabin Medical Center, Beilinson Campus, Petah Tikva, Israel.
| | - Yael Goldberg
- Raphael Recanati Genetics Institute, Rabin Medical Center, Beilinson Campus, Petah Tikva, Israel
- Sackler Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel
| | - Lina Basel-Salmon
- Raphael Recanati Genetics Institute, Rabin Medical Center, Beilinson Campus, Petah Tikva, Israel
- Sackler Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel
- Felsenstein Medical Research Center, Tel-Aviv University, Tel-Aviv, Israel
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49
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Folland C, Ganesh V, Weisburd B, McLean C, Kornberg AJ, O'Donnell-Luria A, Rehm HL, Stevanovski I, Chintalaphani SR, Kennedy P, Deveson IW, Ravenscroft G. Transcriptome and Genome Analysis Uncovers a DMD Structural Variant: A Case Report. Neurol Genet 2023; 9:e200064. [PMID: 37090938 PMCID: PMC10117699 DOI: 10.1212/nxg.0000000000200064] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2022] [Accepted: 01/27/2023] [Indexed: 03/16/2023]
Abstract
Objective Duchenne muscular dystrophy (DMD) is caused by pathogenic variants in the dystrophin gene (DMD). Hypermethylated CGG expansions within DIP2B 5' UTR are associated with an intellectual development disorder. Here, we demonstrate the diagnostic utility of genomic short-read sequencing (SRS) and transcriptome sequencing to identify a novel DMD structural variant (SV) and a DIP2B CGG expansion in a patient with DMD for whom conventional diagnostic testing failed to yield a genetic diagnosis. Methods We performed genomic SRS, skeletal muscle transcriptome sequencing, and targeted programmable long-read sequencing (LRS). Results The proband had a typical DMD clinical presentation, autism spectrum disorder (ASD), and dystrophinopathy on muscle biopsy. Transcriptome analysis identified 6 aberrantly expressed genes; DMD and DIP2B were the strongest underexpression and overexpression outliers, respectively. Genomic SRS identified a 216 kb paracentric inversion (NC_000023.11: g.33162217-33378800) overlapping 2 DMD promoters. ExpansionHunter indicated an expansion of 109 CGG repeats within the 5' UTR of DIP2B. Targeted genomic LRS confirmed the SV and genotyped the DIP2B repeat expansion as 270 CGG repeats. Discussion Here, transcriptome data heavily guided genomic analysis to resolve a complex DMD inversion and a DIP2B repeat expansion. Longitudinal follow-up will be important for clarifying the clinical significance of the DIP2B genotype.
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Affiliation(s)
- Chiara Folland
- Centre for Medical Research, University of Western Australia (C.F., G.R.), Harry Perkins Institute of Medical Research, Perth, Australia; Center for Mendelian Genomics (V.G., B.W., A.O.-L., H.L.R.), Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA; Department of Neurology (V.G.), Brigham and Women's Hospital; Division of Genetics and Genomics (V.G., A.O.-L.), Boston Children's Hospital, MA; Department of Anatomical Pathology (C.M., P.K.), Alfred Health; Department of Medicine (C.M., P.K.), Central Clinical School, Monash University, Melbourne; Murdoch Children's Research Institute (A.J.K.); Department of Neurology (A.J.K.), Royal Children's Hospital; Department of Paediatrics (A.J.K.), University of Melbourne, Victoria, Australia; Center for Genomic Medicine (A.O.-L., H.L.R.), Massachusetts General Hospital, Boston, MA; Genomics Pillar (I.S., S.R.C., I.W.D.), Garvan Institute of Medical Research, Sydney, Australia; Centre for Population Genomics (I.S., S.R.C., I.W.D.), Garvan Institute of Medical Research and Murdoch Children's Research Institute, Australia; School of Clinical Medicine (S.R.C., I.W.D.), Faculty of Medicine and Health, UNSW Sydney, Australia; and School of Biomedical Sciences (G.R.), University of Western Australia, Perth, Australia
| | - Vijay Ganesh
- Centre for Medical Research, University of Western Australia (C.F., G.R.), Harry Perkins Institute of Medical Research, Perth, Australia; Center for Mendelian Genomics (V.G., B.W., A.O.-L., H.L.R.), Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA; Department of Neurology (V.G.), Brigham and Women's Hospital; Division of Genetics and Genomics (V.G., A.O.-L.), Boston Children's Hospital, MA; Department of Anatomical Pathology (C.M., P.K.), Alfred Health; Department of Medicine (C.M., P.K.), Central Clinical School, Monash University, Melbourne; Murdoch Children's Research Institute (A.J.K.); Department of Neurology (A.J.K.), Royal Children's Hospital; Department of Paediatrics (A.J.K.), University of Melbourne, Victoria, Australia; Center for Genomic Medicine (A.O.-L., H.L.R.), Massachusetts General Hospital, Boston, MA; Genomics Pillar (I.S., S.R.C., I.W.D.), Garvan Institute of Medical Research, Sydney, Australia; Centre for Population Genomics (I.S., S.R.C., I.W.D.), Garvan Institute of Medical Research and Murdoch Children's Research Institute, Australia; School of Clinical Medicine (S.R.C., I.W.D.), Faculty of Medicine and Health, UNSW Sydney, Australia; and School of Biomedical Sciences (G.R.), University of Western Australia, Perth, Australia
| | - Ben Weisburd
- Centre for Medical Research, University of Western Australia (C.F., G.R.), Harry Perkins Institute of Medical Research, Perth, Australia; Center for Mendelian Genomics (V.G., B.W., A.O.-L., H.L.R.), Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA; Department of Neurology (V.G.), Brigham and Women's Hospital; Division of Genetics and Genomics (V.G., A.O.-L.), Boston Children's Hospital, MA; Department of Anatomical Pathology (C.M., P.K.), Alfred Health; Department of Medicine (C.M., P.K.), Central Clinical School, Monash University, Melbourne; Murdoch Children's Research Institute (A.J.K.); Department of Neurology (A.J.K.), Royal Children's Hospital; Department of Paediatrics (A.J.K.), University of Melbourne, Victoria, Australia; Center for Genomic Medicine (A.O.-L., H.L.R.), Massachusetts General Hospital, Boston, MA; Genomics Pillar (I.S., S.R.C., I.W.D.), Garvan Institute of Medical Research, Sydney, Australia; Centre for Population Genomics (I.S., S.R.C., I.W.D.), Garvan Institute of Medical Research and Murdoch Children's Research Institute, Australia; School of Clinical Medicine (S.R.C., I.W.D.), Faculty of Medicine and Health, UNSW Sydney, Australia; and School of Biomedical Sciences (G.R.), University of Western Australia, Perth, Australia
| | - Catriona McLean
- Centre for Medical Research, University of Western Australia (C.F., G.R.), Harry Perkins Institute of Medical Research, Perth, Australia; Center for Mendelian Genomics (V.G., B.W., A.O.-L., H.L.R.), Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA; Department of Neurology (V.G.), Brigham and Women's Hospital; Division of Genetics and Genomics (V.G., A.O.-L.), Boston Children's Hospital, MA; Department of Anatomical Pathology (C.M., P.K.), Alfred Health; Department of Medicine (C.M., P.K.), Central Clinical School, Monash University, Melbourne; Murdoch Children's Research Institute (A.J.K.); Department of Neurology (A.J.K.), Royal Children's Hospital; Department of Paediatrics (A.J.K.), University of Melbourne, Victoria, Australia; Center for Genomic Medicine (A.O.-L., H.L.R.), Massachusetts General Hospital, Boston, MA; Genomics Pillar (I.S., S.R.C., I.W.D.), Garvan Institute of Medical Research, Sydney, Australia; Centre for Population Genomics (I.S., S.R.C., I.W.D.), Garvan Institute of Medical Research and Murdoch Children's Research Institute, Australia; School of Clinical Medicine (S.R.C., I.W.D.), Faculty of Medicine and Health, UNSW Sydney, Australia; and School of Biomedical Sciences (G.R.), University of Western Australia, Perth, Australia
| | - Andrew J Kornberg
- Centre for Medical Research, University of Western Australia (C.F., G.R.), Harry Perkins Institute of Medical Research, Perth, Australia; Center for Mendelian Genomics (V.G., B.W., A.O.-L., H.L.R.), Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA; Department of Neurology (V.G.), Brigham and Women's Hospital; Division of Genetics and Genomics (V.G., A.O.-L.), Boston Children's Hospital, MA; Department of Anatomical Pathology (C.M., P.K.), Alfred Health; Department of Medicine (C.M., P.K.), Central Clinical School, Monash University, Melbourne; Murdoch Children's Research Institute (A.J.K.); Department of Neurology (A.J.K.), Royal Children's Hospital; Department of Paediatrics (A.J.K.), University of Melbourne, Victoria, Australia; Center for Genomic Medicine (A.O.-L., H.L.R.), Massachusetts General Hospital, Boston, MA; Genomics Pillar (I.S., S.R.C., I.W.D.), Garvan Institute of Medical Research, Sydney, Australia; Centre for Population Genomics (I.S., S.R.C., I.W.D.), Garvan Institute of Medical Research and Murdoch Children's Research Institute, Australia; School of Clinical Medicine (S.R.C., I.W.D.), Faculty of Medicine and Health, UNSW Sydney, Australia; and School of Biomedical Sciences (G.R.), University of Western Australia, Perth, Australia
| | - Anne O'Donnell-Luria
- Centre for Medical Research, University of Western Australia (C.F., G.R.), Harry Perkins Institute of Medical Research, Perth, Australia; Center for Mendelian Genomics (V.G., B.W., A.O.-L., H.L.R.), Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA; Department of Neurology (V.G.), Brigham and Women's Hospital; Division of Genetics and Genomics (V.G., A.O.-L.), Boston Children's Hospital, MA; Department of Anatomical Pathology (C.M., P.K.), Alfred Health; Department of Medicine (C.M., P.K.), Central Clinical School, Monash University, Melbourne; Murdoch Children's Research Institute (A.J.K.); Department of Neurology (A.J.K.), Royal Children's Hospital; Department of Paediatrics (A.J.K.), University of Melbourne, Victoria, Australia; Center for Genomic Medicine (A.O.-L., H.L.R.), Massachusetts General Hospital, Boston, MA; Genomics Pillar (I.S., S.R.C., I.W.D.), Garvan Institute of Medical Research, Sydney, Australia; Centre for Population Genomics (I.S., S.R.C., I.W.D.), Garvan Institute of Medical Research and Murdoch Children's Research Institute, Australia; School of Clinical Medicine (S.R.C., I.W.D.), Faculty of Medicine and Health, UNSW Sydney, Australia; and School of Biomedical Sciences (G.R.), University of Western Australia, Perth, Australia
| | - Heidi L Rehm
- Centre for Medical Research, University of Western Australia (C.F., G.R.), Harry Perkins Institute of Medical Research, Perth, Australia; Center for Mendelian Genomics (V.G., B.W., A.O.-L., H.L.R.), Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA; Department of Neurology (V.G.), Brigham and Women's Hospital; Division of Genetics and Genomics (V.G., A.O.-L.), Boston Children's Hospital, MA; Department of Anatomical Pathology (C.M., P.K.), Alfred Health; Department of Medicine (C.M., P.K.), Central Clinical School, Monash University, Melbourne; Murdoch Children's Research Institute (A.J.K.); Department of Neurology (A.J.K.), Royal Children's Hospital; Department of Paediatrics (A.J.K.), University of Melbourne, Victoria, Australia; Center for Genomic Medicine (A.O.-L., H.L.R.), Massachusetts General Hospital, Boston, MA; Genomics Pillar (I.S., S.R.C., I.W.D.), Garvan Institute of Medical Research, Sydney, Australia; Centre for Population Genomics (I.S., S.R.C., I.W.D.), Garvan Institute of Medical Research and Murdoch Children's Research Institute, Australia; School of Clinical Medicine (S.R.C., I.W.D.), Faculty of Medicine and Health, UNSW Sydney, Australia; and School of Biomedical Sciences (G.R.), University of Western Australia, Perth, Australia
| | - Igor Stevanovski
- Centre for Medical Research, University of Western Australia (C.F., G.R.), Harry Perkins Institute of Medical Research, Perth, Australia; Center for Mendelian Genomics (V.G., B.W., A.O.-L., H.L.R.), Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA; Department of Neurology (V.G.), Brigham and Women's Hospital; Division of Genetics and Genomics (V.G., A.O.-L.), Boston Children's Hospital, MA; Department of Anatomical Pathology (C.M., P.K.), Alfred Health; Department of Medicine (C.M., P.K.), Central Clinical School, Monash University, Melbourne; Murdoch Children's Research Institute (A.J.K.); Department of Neurology (A.J.K.), Royal Children's Hospital; Department of Paediatrics (A.J.K.), University of Melbourne, Victoria, Australia; Center for Genomic Medicine (A.O.-L., H.L.R.), Massachusetts General Hospital, Boston, MA; Genomics Pillar (I.S., S.R.C., I.W.D.), Garvan Institute of Medical Research, Sydney, Australia; Centre for Population Genomics (I.S., S.R.C., I.W.D.), Garvan Institute of Medical Research and Murdoch Children's Research Institute, Australia; School of Clinical Medicine (S.R.C., I.W.D.), Faculty of Medicine and Health, UNSW Sydney, Australia; and School of Biomedical Sciences (G.R.), University of Western Australia, Perth, Australia
| | - Sanjog R Chintalaphani
- Centre for Medical Research, University of Western Australia (C.F., G.R.), Harry Perkins Institute of Medical Research, Perth, Australia; Center for Mendelian Genomics (V.G., B.W., A.O.-L., H.L.R.), Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA; Department of Neurology (V.G.), Brigham and Women's Hospital; Division of Genetics and Genomics (V.G., A.O.-L.), Boston Children's Hospital, MA; Department of Anatomical Pathology (C.M., P.K.), Alfred Health; Department of Medicine (C.M., P.K.), Central Clinical School, Monash University, Melbourne; Murdoch Children's Research Institute (A.J.K.); Department of Neurology (A.J.K.), Royal Children's Hospital; Department of Paediatrics (A.J.K.), University of Melbourne, Victoria, Australia; Center for Genomic Medicine (A.O.-L., H.L.R.), Massachusetts General Hospital, Boston, MA; Genomics Pillar (I.S., S.R.C., I.W.D.), Garvan Institute of Medical Research, Sydney, Australia; Centre for Population Genomics (I.S., S.R.C., I.W.D.), Garvan Institute of Medical Research and Murdoch Children's Research Institute, Australia; School of Clinical Medicine (S.R.C., I.W.D.), Faculty of Medicine and Health, UNSW Sydney, Australia; and School of Biomedical Sciences (G.R.), University of Western Australia, Perth, Australia
| | - Paul Kennedy
- Centre for Medical Research, University of Western Australia (C.F., G.R.), Harry Perkins Institute of Medical Research, Perth, Australia; Center for Mendelian Genomics (V.G., B.W., A.O.-L., H.L.R.), Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA; Department of Neurology (V.G.), Brigham and Women's Hospital; Division of Genetics and Genomics (V.G., A.O.-L.), Boston Children's Hospital, MA; Department of Anatomical Pathology (C.M., P.K.), Alfred Health; Department of Medicine (C.M., P.K.), Central Clinical School, Monash University, Melbourne; Murdoch Children's Research Institute (A.J.K.); Department of Neurology (A.J.K.), Royal Children's Hospital; Department of Paediatrics (A.J.K.), University of Melbourne, Victoria, Australia; Center for Genomic Medicine (A.O.-L., H.L.R.), Massachusetts General Hospital, Boston, MA; Genomics Pillar (I.S., S.R.C., I.W.D.), Garvan Institute of Medical Research, Sydney, Australia; Centre for Population Genomics (I.S., S.R.C., I.W.D.), Garvan Institute of Medical Research and Murdoch Children's Research Institute, Australia; School of Clinical Medicine (S.R.C., I.W.D.), Faculty of Medicine and Health, UNSW Sydney, Australia; and School of Biomedical Sciences (G.R.), University of Western Australia, Perth, Australia
| | - Ira W Deveson
- Centre for Medical Research, University of Western Australia (C.F., G.R.), Harry Perkins Institute of Medical Research, Perth, Australia; Center for Mendelian Genomics (V.G., B.W., A.O.-L., H.L.R.), Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA; Department of Neurology (V.G.), Brigham and Women's Hospital; Division of Genetics and Genomics (V.G., A.O.-L.), Boston Children's Hospital, MA; Department of Anatomical Pathology (C.M., P.K.), Alfred Health; Department of Medicine (C.M., P.K.), Central Clinical School, Monash University, Melbourne; Murdoch Children's Research Institute (A.J.K.); Department of Neurology (A.J.K.), Royal Children's Hospital; Department of Paediatrics (A.J.K.), University of Melbourne, Victoria, Australia; Center for Genomic Medicine (A.O.-L., H.L.R.), Massachusetts General Hospital, Boston, MA; Genomics Pillar (I.S., S.R.C., I.W.D.), Garvan Institute of Medical Research, Sydney, Australia; Centre for Population Genomics (I.S., S.R.C., I.W.D.), Garvan Institute of Medical Research and Murdoch Children's Research Institute, Australia; School of Clinical Medicine (S.R.C., I.W.D.), Faculty of Medicine and Health, UNSW Sydney, Australia; and School of Biomedical Sciences (G.R.), University of Western Australia, Perth, Australia
| | - Gianina Ravenscroft
- Centre for Medical Research, University of Western Australia (C.F., G.R.), Harry Perkins Institute of Medical Research, Perth, Australia; Center for Mendelian Genomics (V.G., B.W., A.O.-L., H.L.R.), Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, MA; Department of Neurology (V.G.), Brigham and Women's Hospital; Division of Genetics and Genomics (V.G., A.O.-L.), Boston Children's Hospital, MA; Department of Anatomical Pathology (C.M., P.K.), Alfred Health; Department of Medicine (C.M., P.K.), Central Clinical School, Monash University, Melbourne; Murdoch Children's Research Institute (A.J.K.); Department of Neurology (A.J.K.), Royal Children's Hospital; Department of Paediatrics (A.J.K.), University of Melbourne, Victoria, Australia; Center for Genomic Medicine (A.O.-L., H.L.R.), Massachusetts General Hospital, Boston, MA; Genomics Pillar (I.S., S.R.C., I.W.D.), Garvan Institute of Medical Research, Sydney, Australia; Centre for Population Genomics (I.S., S.R.C., I.W.D.), Garvan Institute of Medical Research and Murdoch Children's Research Institute, Australia; School of Clinical Medicine (S.R.C., I.W.D.), Faculty of Medicine and Health, UNSW Sydney, Australia; and School of Biomedical Sciences (G.R.), University of Western Australia, Perth, Australia
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Williams LJ, Qiu J, Ong TL, Deveson IW, Stevanovski I, Chintalaphani SR, Fellner A, Varikatt W, Morales‐Briceno H, Tchan M, Kumar KR, Fung VS. NOTCH2NLC GGC Repeat Expansion Presenting as Adult-Onset Cervical Dystonia. Mov Disord Clin Pract 2023; 10:704-706. [PMID: 37070059 PMCID: PMC10105096 DOI: 10.1002/mdc3.13677] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2022] [Revised: 01/15/2023] [Accepted: 01/19/2023] [Indexed: 02/05/2023] Open
Affiliation(s)
- Laura J. Williams
- Movement Disorder Unit, Department of NeurologyWestmead HospitalWestmeadNew South WalesAustralia
| | - Jessica Qiu
- Movement Disorder Unit, Department of NeurologyWestmead HospitalWestmeadNew South WalesAustralia
| | - Tien Lee Ong
- Movement Disorder Unit, Department of NeurologyWestmead HospitalWestmeadNew South WalesAustralia
| | - Ira W. Deveson
- Garvan Institute of Medical ResearchDarlinghurstNew South WalesAustralia
- St. Vincent's Clinical School, Faculty of MedicineUniversity of New South WalesSydneyNew South WalesAustralia
| | - Igor Stevanovski
- Garvan Institute of Medical ResearchDarlinghurstNew South WalesAustralia
| | - Sanju R. Chintalaphani
- Garvan Institute of Medical ResearchDarlinghurstNew South WalesAustralia
- St. Vincent's Clinical School, Faculty of MedicineUniversity of New South WalesSydneyNew South WalesAustralia
| | - Avi Fellner
- Garvan Institute of Medical ResearchDarlinghurstNew South WalesAustralia
- Raphael Recanati Genetics Institute, Rabin Medical CenterBeilinson HospitalPetah TikvaIsrael
- The Neurology Department, Rabin Medical CenterBeilinson HospitalPetah TikvaIsrael
| | - Winny Varikatt
- Tissue Pathology and Diagnostic Oncology, Institute of Clinical Pathology and Medical ResearchWestmead HospitalWestmeadNew South WalesAustralia
- Sydney Medical SchoolThe University of SydneySydneyNew South WalesAustralia
| | - Hugo Morales‐Briceno
- Movement Disorder Unit, Department of NeurologyWestmead HospitalWestmeadNew South WalesAustralia
| | - Michel Tchan
- Sydney Medical SchoolThe University of SydneySydneyNew South WalesAustralia
- Department of Medical GeneticsWestmead HospitalWestmeadNew South WalesAustralia
| | - Kishore R. Kumar
- Garvan Institute of Medical ResearchDarlinghurstNew South WalesAustralia
- Sydney Medical SchoolThe University of SydneySydneyNew South WalesAustralia
- Molecular Medicine LaboratoryConcord HospitalConcordNew South WalesAustralia
- Neurology Department, Central Clinical School, Concord Repatriation General HospitalUniversity of SydneyConcordNew South WalesAustralia
| | - Victor S.C. Fung
- Movement Disorder Unit, Department of NeurologyWestmead HospitalWestmeadNew South WalesAustralia
- Sydney Medical SchoolThe University of SydneySydneyNew South WalesAustralia
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